{"id":598,"date":"2025-04-05T12:00:43","date_gmt":"2025-04-05T12:00:43","guid":{"rendered":"http:\/\/alessandrofois.com\/campionamento-oversampling-aliasing-bit-snr-spiegati-bene-come-usarli-in-registrazione-e-mix-facciamo-chiarezza\/"},"modified":"2025-07-11T15:56:26","modified_gmt":"2025-07-11T15:56:26","slug":"oversampling-aliasing-and-snr-explained-clearly-how-to-use-them-in-recording-and-mixing-lets-clarify","status":"publish","type":"post","link":"https:\/\/alessandrofois.com\/en\/campionamento-oversampling-aliasing-bit-snr-spiegati-bene-come-usarli-in-registrazione-e-mix-facciamo-chiarezza\/","title":{"rendered":"Sampling, Oversampling, Aliasing, Bit, SNR, explained well: let&#039;s clarify."},"content":{"rendered":"<hr \/>\n<h2><b>Introduction<\/b><\/h2>\n<p>If you work with digital audio or are just starting to explore the world of recording and mixing, you will have come across terms such as <b>sampling, oversampling, aliasing and bit depth<\/b>.<\/p>\n<p>You can find them in your settings. <b>DAW (Digital Audio Workstation)<\/b>, plugins, sound cards and AD\/DA (analogue-to-digital and digital-to-analogue) converters. But how do they actually work?<\/p>\n<p>This guide, written in a simple and straightforward manner, yet sufficiently comprehensive, will assist you in:<\/p>\n<ul>\n<li><b><\/b><b>Understanding the meaning of each parameter<\/b><b><\/b><\/li>\n<li><b><\/b><b>Evaluate the pros and cons of the different settings<\/b><b><\/b><\/li>\n<li><b><\/b><b>Making informed choices<\/b> to achieve maximum audio quality without wasting computer resources<\/li>\n<\/ul>\n<p>We will not use complex formulas, but <b>clear concepts and many practical examples<\/b> to enable you to understand and apply this information immediately in your work.<\/p>\n<p><b>1. Sampling Frequency: what it is and how to choose the right value<\/b><\/p>\n<h2><b>1 \u2013 What is sampling?<\/b><\/h2>\n<p>Imagine you want to transform an analogue sound (i.e. the electroacoustic signal produced by a voice, an instrument or any other sound source) into a numerical sequence.<\/p>\n<p>Since a computer can only handle discrete values (fixed, non-continuous numbers), it must \u201cphotograph\u201d the value of the sound signal at precise moments and at regular intervals. Each photograph represents a <b>sample<\/b> (or <i>sample<\/i>), which is a measurement of the intensity of the waveform at a given moment.<\/p>\n<p>The more often we take these \u201cphotographs\u201d, the more detailed and fluid the digital representation of the sound will be, and the more faithful the result will be to the original.<\/p>\n<p><b>Practical example:<\/b><b><\/b><\/p>\n<ul>\n<li>If you take pictures <b>one photo per second<\/b> of a moving car, you will only have a rough idea of its position and will lose all information about its movement.<\/li>\n<li>If you take pictures <b>1000 photos per second<\/b>, you will see every detail with extreme precision, perfectly capturing movement.<\/li>\n<\/ul>\n<p>In the digital world, this acquisition frequency is called <b>sampling frequency<\/b> and is measured in <b>kHz (kilohertz)<\/b>, which indicates <b>how many samples are recorded per second<\/b>. For example, a sampling frequency of <b>44.1 kHz<\/b> means that the system records <b>44,100 samples per second<\/b>.<\/p>\n<h3><b>Sampling frequencies in practical use<\/b><\/h3>\n<table cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Sampling frequency<\/b><b><\/b><\/span><\/p>\n<\/td>\n<td valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Where it is used<\/b><b><\/b><\/span><\/p>\n<\/td>\n<td valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Pro<\/b><b><\/b><\/span><\/p>\n<\/td>\n<td valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Against<\/b><b><\/b><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">44.1 kHz<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Audio CDs, streaming, radio, multi-track recording<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Good quality standards, universal compatibility<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">May lose detail in high frequencies<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">48 kHz<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Professional audiovisual production, multitrack recording<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Greater definition in high frequencies compared to 44.1 kHz<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Increased CPU and memory usage<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">88.2 \u2013 96 kHz<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Professional studios, film and video post-production, mastering<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Greater detail fidelity, lower risk of aliasing<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Little audible difference compared to 48 kHz, very large files, high CPU load<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><span style=\"color: #000000; font-family: Helvetica Neue; font-size: large;\">176.4 \u2013 192 kHz and above<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Professional firms with enormous computing power resources<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Greater fidelity, useful for extreme editing, mastering, lower risk of aliasing<\/span><\/td>\n<td valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">No audible difference compared to 96 kHz, huge files, extremely high CPU load<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><b>How to choose the right sampling frequency for your home studio work?<\/b><\/h3>\n<p>\u2705 Use 44.1 kHz for pop, electronic and rock music. It is the standard, compatible everywhere, no conversion is needed when exporting (bouncing) for streaming platforms or CDs, and it already has optimal quality, which is more than sufficient.<br \/>\n\u2705 Use 48 kHz if you are working with audio for video. The improvement over 44.1 is practically inaudible, but it is the standard for films, television, and podcasts, so it may be preferable to avoid conversions if you are creating a soundtrack or working on a DVD or Blu-ray disc.<br \/>\n\u2705 Only use 88.2 or 96 kHz if you are recording very high-quality acoustic sources that require few recording tracks. It is a good solution to use it for mastering, strictly using a frequency that is exactly double that used for recording the tracks (to avoid uneven truncation of the samples).<br \/>\n<b><\/b>\u2705 Use 176.4\u2013192 kHz or higher only if you are doing very high-quality sound design (a professional activity that is rarely done in a home studio).<\/p>\n<p>\u274c <b>It makes NO sense to record at 192 kHz for pop song tracks.<\/b> The improvement will be imperceptible, but the load on the CPU and the space occupied by the files will increase dramatically, putting the system under strain after just a few tracks of recording or certainly during mixing, as you add equalizers, compressors and other effects.<\/p>\n<h2 data-start=\"162\" data-end=\"193\"><strong data-start=\"166\" data-end=\"191\">2 \u2013 What is oversampling?<\/strong><\/h2>\n<p data-start=\"195\" data-end=\"412\">L'<strong data-start=\"197\" data-end=\"213\">oversampling<\/strong> is a technique that consists of temporarily processing the audio signal at a <strong data-start=\"295\" data-end=\"334\">higher sampling frequency<\/strong> compared to the one set in your recording or mixing session.<\/p>\n<p data-start=\"414\" data-end=\"671\"><strong data-start=\"417\" data-end=\"437\">Practical example:<\/strong><br data-start=\"437\" data-end=\"440\" \/>Imagine you have a <strong data-start=\"461\" data-end=\"503\">video at 30 frames per second (fps)<\/strong>. If you convert it to <strong data-start=\"522\" data-end=\"533\">120 frames per second<\/strong> Before applying graphic effects and then returning to 30 fps, the effects will be smoother and more precise, avoiding visual artefacts.<\/p>\n<p data-start=\"673\" data-end=\"940\">Oversampling does the same thing with sound: it increases the number of samples to improve the accuracy of plugins. <strong data-start=\"793\" data-end=\"854\">equalisation, compression, distortion and other effects<\/strong>, reducing the risk of <strong data-start=\"880\" data-end=\"892\">aliasing<\/strong> (an issue we will look at in the next point).<\/p>\n<h3><strong data-start=\"951\" data-end=\"985\">How do you activate oversampling?<\/strong><\/h3>\n<p data-start=\"989\" data-end=\"1265\">Many modern plugins offer the option to enable oversampling with a simple button. In other cases, you can select the desired value from a drop-down menu, expressed as multipliers of the session sampling frequency (e.g. <strong data-start=\"1241\" data-end=\"1261\">2x, 4x, 8x, etc.<\/strong>).<\/p>\n<p data-start=\"1267\" data-end=\"1453\"><strong data-start=\"1270\" data-end=\"1300\">What do 2x, 4x, 8x mean?<\/strong><br data-start=\"1300\" data-end=\"1303\" \/>If your session is set to <strong data-start=\"1336\" data-end=\"1348\">44.1 kHz<\/strong>, oversampling <strong data-start=\"1366\" data-end=\"1372\">2x<\/strong> will make the plugin work at <strong data-start=\"1399\" data-end=\"1411\">88.2 kHz<\/strong>, a <strong data-start=\"1416\" data-end=\"1422\">4x<\/strong> a <strong data-start=\"1425\" data-end=\"1438\">176.4 kHz<\/strong>, and so on.<\/p>\n<p data-start=\"1455\" data-end=\"1754\">When the plugin applies its processing (e.g. distortion or saturation), it does so on the version <strong data-start=\"1570\" data-end=\"1585\">oversampled<\/strong> of the signal. <strong data-start=\"1599\" data-end=\"1752\">After processing, the signal is returned to its original frequency (downsampling) so that it blends seamlessly with the rest of the mix.<\/strong><\/p>\n<h3><strong data-start=\"1765\" data-end=\"1804\">Which oversampling values should be used?<\/strong><\/h3>\n<p data-start=\"1808\" data-end=\"1993\">Oversampling <strong data-start=\"1823\" data-end=\"1858\">It must NOT be activated randomly.<\/strong>. Using it excessively can unnecessarily overload the CPU, so it is important to choose the right value based on the project.<\/p>\n<p><strong>Here is a small practical diagram<\/strong><\/p>\n<table style=\"height: 293px;\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr style=\"height: 76px;\">\n<td style=\"height: 76px; width: 206.1875px;\" valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Session frequency<\/b><b><\/b><\/span><\/p>\n<\/td>\n<td style=\"height: 76px; width: 380.328125px;\" valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Recommended oversampling<\/b><b><\/b><\/span><\/p>\n<\/td>\n<td style=\"height: 76px; width: 594.5px;\" valign=\"middle\">\n<p align=\"center\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\"><b>Notes<\/b><b><\/b><\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 65px;\">\n<td style=\"height: 65px; width: 206.1875px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">44.1 kHz \/ 48 kHz<\/span><\/td>\n<td style=\"height: 65px; width: 380.328125px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">2x (recommended for plugins that introduce distortion), 4x (in rare cases)<\/span><\/td>\n<td style=\"height: 65px; width: 594.5px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">To reduce aliasing in distortions, saturations, digital synths<\/span><\/td>\n<\/tr>\n<tr style=\"height: 76px;\">\n<td style=\"height: 76px; width: 206.1875px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">88.2 kHz \/ 96 kHz<\/span><\/td>\n<td style=\"height: 76px; width: 380.328125px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">2x only in extreme cases<\/span><\/td>\n<td style=\"height: 76px; width: 594.5px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Usually not necessary, the sampling frequency is already high, you could only use it for distortion plugins.<\/span><\/td>\n<\/tr>\n<tr style=\"height: 76px;\">\n<td style=\"height: 76px; width: 206.1875px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">176.4\/192kHz or higher<\/span><\/td>\n<td style=\"height: 76px; width: 380.328125px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">No oversampling<\/span><\/td>\n<td style=\"height: 76px; width: 594.5px;\" valign=\"middle\"><span style=\"color: #000000; font-family: Avenir; font-size: large;\">Completely useless, just a waste of resources<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p data-start=\"2473\" data-end=\"2497\"><strong data-start=\"2476\" data-end=\"2495\">Summary:<\/strong><\/p>\n<ul data-start=\"2498\" data-end=\"2893\">\n<li data-start=\"2498\" data-end=\"2592\">If you are working at 44.1 or 48 kHz, 2x is sufficient in most cases, but in many cases it is unnecessary; it is mainly useful when using saturation plugins.<\/li>\n<li data-start=\"2593\" data-end=\"2684\">With the same sampling frequencies, 4x can only be used in extreme situations (saturation and distortion at high frequencies, digital synthesis of very high-pitched sounds).<\/li>\n<li data-start=\"2685\" data-end=\"2767\">8x or more is almost always a waste of CPU power at any session sampling frequency, and almost never brings any real improvements.<\/li>\n<li data-start=\"2768\" data-end=\"2893\">If your session is already at 96kHz or higher, oversampling (no more than 2x) is not necessary, except in some very specific cases, such as 4x for lower sampling frequencies.<\/li>\n<\/ul>\n<h3><strong data-start=\"2904\" data-end=\"2957\">Disadvantages of oversampling: watch out for the CPU!<\/strong><\/h3>\n<p data-start=\"2961\" data-end=\"3027\">Oversampling increases the load on the CPU exponentially:<\/p>\n<ul data-start=\"3028\" data-end=\"3121\">\n<li data-start=\"3028\" data-end=\"3064\"><strong data-start=\"3030\" data-end=\"3062\">2x doubles CPU usage<\/strong><\/li>\n<li data-start=\"3065\" data-end=\"3090\"><strong data-start=\"3067\" data-end=\"3088\">4x quadruples it<\/strong><\/li>\n<li data-start=\"3091\" data-end=\"3121\"><strong data-start=\"3093\" data-end=\"3119\">8x multiply it by 8<\/strong><\/li>\n<\/ul>\n<p data-start=\"3123\" data-end=\"3363\">\u274c <strong data-start=\"3125\" data-end=\"3240\">If you enable oversampling on too many plugins, your DAW may slow down, crash, or introduce latency.<\/strong>.<br data-start=\"3241\" data-end=\"3244\" \/>\u2705 <strong data-start=\"3246\" data-end=\"3361\">If you notice performance issues, try reducing oversampling or freezing\/rendering the heaviest tracks.<\/strong><\/p>\n<p data-start=\"3365\" data-end=\"3640\"><strong data-start=\"3368\" data-end=\"3388\">Practical example:<\/strong><br data-start=\"3388\" data-end=\"3391\" \/><strong data-start=\"3394\" data-end=\"3483\">Do you have 10 distortion plugins on different tracks, all with 8x oversampling enabled?<\/strong> Your computer will probably start to suffer.<br data-start=\"3534\" data-end=\"3537\" \/><strong data-start=\"3540\" data-end=\"3588\">Do you only have 1 or 2 plugins that cause aliasing?<\/strong> Enable oversampling <strong data-start=\"3611\" data-end=\"3637\">2x or 4x only on those<\/strong>.<\/p>\n<h3><strong data-start=\"3651\" data-end=\"3703\">Conclusion: when and how to use oversampling?<\/strong><\/h3>\n<p data-start=\"3707\" data-end=\"4045\">\u2705 <strong data-start=\"3709\" data-end=\"3733\">Use it sparingly.<\/strong>: only in plugins where you hear aliasing or digital artefacts.<br data-start=\"3792\" data-end=\"3795\" \/>\u2705 <strong data-start=\"3797\" data-end=\"3824\">2x is often sufficient<\/strong> to improve sound quality.<br data-start=\"3861\" data-end=\"3864\" \/>\u2705 <strong data-start=\"3866\" data-end=\"3913\">More than 4x rarely brings audible benefits.<\/strong><br data-start=\"3913\" data-end=\"3916\" \/>\u274c <strong data-start=\"3918\" data-end=\"3966\">Avoid activating it on all plugins at random!<\/strong> You may slow down your computer unnecessarily without any real gains in quality.<\/p>\n<p data-start=\"4047\" data-end=\"4179\" data-is-last-node=\"\" data-is-only-node=\"\">If you learn to use it wisely, oversampling can greatly improve the quality of your mix without putting too much strain on the system.<\/p>\n<h2><strong data-start=\"217\" data-end=\"268\">3 \u2013 Aliasing: the invisible enemy of digital technology<\/strong><\/h2>\n<h3 data-start=\"272\" data-end=\"299\"><strong data-start=\"276\" data-end=\"297\">What is aliasing?<\/strong><\/h3>\n<p data-start=\"301\" data-end=\"671\">L'<strong data-start=\"303\" data-end=\"315\">aliasing<\/strong> This is a problem that occurs when an audio signal contains frequencies that are too high for the sampling capacity of the digital system. When these frequencies <strong data-start=\"487\" data-end=\"523\">exceed the Nyquist frequency<\/strong>, cannot be recorded correctly and are <strong data-start=\"579\" data-end=\"627\">distorted, transforming into spurious frequencies<\/strong> that did not exist in the original signal.<\/p>\n<p data-start=\"673\" data-end=\"1102\">The sampling theorem of <strong data-start=\"705\" data-end=\"724\">Nyquist\u2013Shannon<\/strong> establishes that in order to accurately represent a signal, it must be sampled at a frequency of at least <strong data-start=\"830\" data-end=\"840\">double<\/strong> relative to the maximum frequency present in the signal itself. Half the sampling frequency is called <strong data-start=\"954\" data-end=\"978\">Nyquist frequency<\/strong> and represents the maximum limit beyond which the system can no longer correctly represent the original frequencies.<\/p>\n<p data-start=\"1104\" data-end=\"1430\">When the signal exceeds this limit, the excess frequencies <strong data-start=\"1168\" data-end=\"1193\">are not deleted<\/strong>, but yes <strong data-start=\"1201\" data-end=\"1215\">reflect<\/strong> in the audible spectrum by generating <strong data-start=\"1248\" data-end=\"1260\">aliasing<\/strong>. This phenomenon is called <strong data-start=\"1289\" data-end=\"1300\">folding<\/strong>, as unwanted frequencies are \u201cfolded\u201d downwards, producing <strong data-start=\"1382\" data-end=\"1427\">unpredictable and irreversible distortions<\/strong>.<\/p>\n<hr data-start=\"1432\" data-end=\"1435\" \/>\n<h3 data-start=\"1437\" data-end=\"1487\"><strong data-start=\"1441\" data-end=\"1485\">How does aliasing manifest itself in audio?<\/strong><\/h3>\n<p data-start=\"1489\" data-end=\"1565\">Aliasing appears as <strong data-start=\"1517\" data-end=\"1537\">spurious frequencies<\/strong> which may sound like:<\/p>\n<ul data-start=\"1566\" data-end=\"1812\">\n<li data-start=\"1566\" data-end=\"1638\"><strong data-start=\"1568\" data-end=\"1614\">Unnatural metallic tones or digital sounds<\/strong> in the high frequencies.<\/li>\n<li data-start=\"1639\" data-end=\"1716\"><strong data-start=\"1641\" data-end=\"1670\">Non-harmonic distortions<\/strong> that were not present in the original sound.<\/li>\n<li data-start=\"1717\" data-end=\"1812\"><strong data-start=\"1719\" data-end=\"1753\">Unpredictable sound artefacts<\/strong> in synthesizers or digital distortion plugins.<\/li>\n<\/ul>\n<p data-start=\"1814\" data-end=\"2172\">This is a particularly common problem when working with:<br data-start=\"1872\" data-end=\"1875\" \/>\u2705 <strong data-start=\"1877\" data-end=\"1904\">Digital synthesizers<\/strong>, which can generate frequencies above Nyquist.<br data-start=\"1951\" data-end=\"1954\" \/>\u2705 <strong data-start=\"1956\" data-end=\"1994\">Digital distortions and saturations<\/strong>, which create high harmonics that can become aliasing.<br data-start=\"2050\" data-end=\"2053\" \/>\u2705 <strong data-start=\"2055\" data-end=\"2102\">Pitch shifting and time-stretching effects<\/strong>, which manipulate frequencies in ways that can generate aliasing.<\/p>\n<h3><strong data-start=\"2183\" data-end=\"2249\">The aliasing formula: how is the spurious frequency added to the audible sound calculated?<\/strong><\/h3>\n<p data-start=\"119\" data-end=\"182\"><strong data-start=\"122\" data-end=\"180\">Example: 40 kHz frequency in a 48 kHz session.<\/strong><\/p>\n<h3 data-start=\"184\" data-end=\"241\"><strong data-start=\"188\" data-end=\"239\">Step 1: Calculate the Nyquist frequency<\/strong><\/h3>\n<p data-start=\"242\" data-end=\"322\">The Nyquist frequency is always <strong data-start=\"275\" data-end=\"286\">half<\/strong> of the sampling frequency:<\/p>\n<p data-start=\"3066\" data-end=\"3137\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\">48 divided by 2 = <\/span><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord\">24<\/span><span class=\"mord text\"><span class=\"mord\">kHz<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p data-start=\"360\" data-end=\"406\">So the <strong data-start=\"370\" data-end=\"403\">Nyquist frequency is 24 kHz<\/strong>.<\/p>\n<hr data-start=\"408\" data-end=\"411\" \/>\n<h3 data-start=\"413\" data-end=\"477\"><strong data-start=\"417\" data-end=\"475\">Step 2: Is the sound above the Nyquist frequency?<\/strong><\/h3>\n<p data-start=\"478\" data-end=\"587\">Yes! Our original sound is <strong data-start=\"510\" data-end=\"520\">40 kHz<\/strong>, which is <strong data-start=\"528\" data-end=\"540\">highest<\/strong> Of <strong data-start=\"544\" data-end=\"554\">24 kHz<\/strong> \u2192 <strong data-start=\"557\" data-end=\"584\">so there will be aliasing<\/strong>.<\/p>\n<hr data-start=\"589\" data-end=\"592\" \/>\n<h3 data-start=\"594\" data-end=\"654\"><strong data-start=\"598\" data-end=\"652\">Step 3: We calculate the aliasing frequency<\/strong><\/h3>\n<p data-start=\"655\" data-end=\"743\">We must subtract the <strong data-start=\"677\" data-end=\"714\">twice the Nyquist frequency<\/strong> from the original frequency:<\/p>\n<p data-start=\"3066\" data-end=\"3137\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\">24 kHz x 2 = 48 kHz<br \/>\n<\/span><\/span><\/span><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\">40 kHz \u2212 48 kHz = \u2212 8 kHz, which, converted to positive, brings us back to 8 kHz.<\/span><\/span><\/span><\/p>\n<p data-start=\"936\" data-end=\"1081\"><strong data-start=\"939\" data-end=\"952\">Result<\/strong>:<br data-start=\"953\" data-end=\"956\" \/>The original 40 kHz sound cannot be recorded correctly and will be transformed into a spurious 8 kHz alias that will be added to the clean signal, contaminating it.<\/p>\n<hr data-start=\"1083\" data-end=\"1086\" \/>\n<p data-start=\"1088\" data-end=\"1378\"><strong data-start=\"1091\" data-end=\"1121\">What does this mean in practice?<\/strong><br data-start=\"1121\" data-end=\"1124\" \/>If you have a sound source that emits a component at <strong data-start=\"1179\" data-end=\"1189\">40 kHz<\/strong>, but you are recording at <strong data-start=\"1213\" data-end=\"1223\">48 kHz<\/strong>, your system <strong data-start=\"1240\" data-end=\"1282\">will not record the actual sound at 40 kHz<\/strong>, but will turn it into a <strong data-start=\"1308\" data-end=\"1331\">false 8 kHz sound<\/strong>, which was not present in the original signal.<\/p>\n<p data-start=\"1380\" data-end=\"1500\"><strong data-start=\"1383\" data-end=\"1498\">The higher the original sound is compared to Nyquist, the more spurious aliases appear at lower, audible frequencies.<\/strong><\/p>\n<p data-start=\"3452\" data-end=\"3584\">If the original sound is much higher than the Nyquist frequency, the process repeats cyclically, generating <strong data-start=\"3565\" data-end=\"3583\">multiple aliases<\/strong>.<\/p>\n<h3><strong data-start=\"3595\" data-end=\"3613\">How to avoid aliasing?<\/strong><\/h3>\n<p data-start=\"238\" data-end=\"293\"><strong data-start=\"238\" data-end=\"291\">Using anti-aliasing filters in AD\/DA converters<\/strong><\/p>\n<p data-start=\"295\" data-end=\"690\">Professional sound card converters apply a low-pass filter to eliminate frequencies above Nyquist before the signal is digitised. This prevents aliasing during recording, but does not solve the problem in digital processes during mixing. If aliasing is subsequently generated by a plugin, this type of filter cannot intervene.<\/p>\n<p data-start=\"692\" data-end=\"732\"><strong data-start=\"692\" data-end=\"730\">Enable oversampling in plugins<\/strong><\/p>\n<p data-start=\"734\" data-end=\"1193\">Some distortion, saturation, synthesis, and compression plugins can generate high harmonics that exceed the Nyquist frequency, creating aliasing. Oversampling allows them to operate at a higher frequency, reducing the risk before downsampling. This feature should be used judiciously, as it increases the load on the CPU. If a plugin offers multiple oversampling levels (2x, 4x, 8x), in most cases 2x or 4x are sufficient.<\/p>\n<p data-start=\"1195\" data-end=\"1272\"><strong data-start=\"1195\" data-end=\"1270\">Working at a higher sampling frequency (only if necessary)<\/strong><\/p>\n<p data-start=\"1274\" data-end=\"1738\">If a project uses a lot of digital effects and software synthesizers, working at 88.2kHz or 96kHz can reduce the risk of aliasing without the need for oversampling. For standard music productions, 44.1kHz or 48kHz are generally sufficient, especially if the plugins are well designed and oversampling is only enabled where necessary. Frequencies above 96kHz rarely bring audible benefits and unnecessarily increase the system workload.<\/p>\n<p data-start=\"1740\" data-end=\"1815\"><strong data-start=\"1740\" data-end=\"1813\">Use equalizers and filters to attenuate problematic frequencies.<\/strong><\/p>\n<p data-start=\"1817\" data-end=\"2174\">Some precise equalizers and low-pass filters can reduce aliasing by drastically cutting ultrasonic frequencies (i.e., above 20,000 Hz, which could be reflected in the audible range). This technique is useful when a plugin generates aliasing and does not have an oversampling option. However, this process can sometimes produce phase errors near the cutoff frequency, making the super-high range less crystal clear.<\/p>\n<p data-start=\"1817\" data-end=\"2174\"><strong>Conclusion<\/strong><\/p>\n<p data-start=\"1817\" data-end=\"2174\">Anti-aliasing filters on sound cards only solve the problem during recording. To avoid aliasing in digital processes, you can enable oversampling in the most critical plugins or work at a higher sampling rate if necessary. In some cases, a low-pass filter can help eliminate problematic frequencies. If you don't hear aliasing in your mix, you probably don't need to change anything.<\/p>\n<hr data-start=\"4855\" data-end=\"4858\" \/>\n<h3 data-start=\"4860\" data-end=\"4919\"><strong data-start=\"4864\" data-end=\"4917\"> Practical example: aliasing in a synthesiser<\/strong><\/h3>\n<p data-start=\"4921\" data-end=\"5063\">Are you using a software synthesiser and notice that when you play very high notes, the sound becomes metallic and unnatural?<br data-start=\"5041\" data-end=\"5044\" \/><strong data-start=\"5047\" data-end=\"5060\">Solution<\/strong>:<\/p>\n<ul data-start=\"5064\" data-end=\"5465\">\n<li data-start=\"5064\" data-end=\"5191\"><strong data-start=\"5066\" data-end=\"5106\">Check the plugin settings<\/strong> and check if it has an option to <strong data-start=\"5138\" data-end=\"5154\">oversampling<\/strong>: activate it and try with <strong data-start=\"5177\" data-end=\"5188\">2x or 4x<\/strong>.<\/li>\n<li data-start=\"5192\" data-end=\"5339\"><strong data-start=\"5194\" data-end=\"5221\">If the problem persists<\/strong>, try increasing the project's sampling frequency, if your computer allows it without slowing down.<\/li>\n<li data-start=\"5340\" data-end=\"5465\"><strong data-start=\"5342\" data-end=\"5412\">If your synthesiser has an anti-aliasing filter option<\/strong>, activate it to eliminate unwanted frequencies.<\/li>\n<\/ul>\n<hr data-start=\"5467\" data-end=\"5470\" \/>\n<h3 data-start=\"5472\" data-end=\"5521\"><strong data-start=\"5476\" data-end=\"5519\">Conclusion: aliasing can be avoided!<\/strong><\/h3>\n<p data-start=\"5523\" data-end=\"5852\"><strong data-start=\"5526\" data-end=\"5548\">Practical summary:<\/strong><br data-start=\"5548\" data-end=\"5551\" \/>\u2705 If you use <strong data-start=\"5560\" data-end=\"5601\">digital synthesizers or distortions<\/strong>, <strong data-start=\"5603\" data-end=\"5639\">activate oversampling in plugins<\/strong>.<br data-start=\"5640\" data-end=\"5643\" \/>\u2705 If you work with <strong data-start=\"5659\" data-end=\"5688\">actual audio recordings<\/strong>, <strong data-start=\"5690\" data-end=\"5760\">the anti-aliasing filters on the sound card are already doing their job<\/strong>.<br data-start=\"5761\" data-end=\"5764\" \/>\u2705 Not necessary <strong data-start=\"5783\" data-end=\"5817\">always work at 96 kHz or higher<\/strong>, If you do not have any specific requirements, but if you can do so, you can ensure that you prevent it almost entirely from the outset.<\/p>\n<p data-start=\"5854\" data-end=\"6098\">Aliasing is a predictable problem that can be solved by carefully managing sampling settings and plugins. Avoiding it will help you achieve <strong data-start=\"6015\" data-end=\"6049\">a cleaner, more natural sound<\/strong>, without unwanted digital artefacts.<\/p>\n<hr data-start=\"5750\" data-end=\"5753\" \/>\n<h2><strong data-start=\"5758\" data-end=\"5796\">4 \u2013 Bit depth: 16, 24 or 32?<\/strong><\/h2>\n<h3><strong data-start=\"45\" data-end=\"76\">What is bit depth?<\/strong><\/h3>\n<p data-start=\"80\" data-end=\"278\">If the <strong data-start=\"86\" data-end=\"116\">sampling frequency<\/strong> determines <strong data-start=\"127\" data-end=\"178\">how many times per second is sound measured<\/strong>, the <strong data-start=\"183\" data-end=\"204\">bit depth <\/strong>establishes <strong data-start=\"216\" data-end=\"275\">how accurately each measurement of each individual sample is recorded<\/strong><\/p>\n<p data-start=\"280\" data-end=\"463\">The greater the bit depth, the greater the <strong data-start=\"330\" data-end=\"348\">dynamic range<\/strong>, i.e. the difference between the weakest and strongest sounds that the system can record without distortion.<\/p>\n<table data-start=\"465\" data-end=\"795\">\n<thead data-start=\"465\" data-end=\"529\">\n<tr data-start=\"465\" data-end=\"529\">\n<th data-start=\"465\" data-end=\"489\"><strong data-start=\"467\" data-end=\"488\">Bit depth<\/strong><\/th>\n<th data-start=\"489\" data-end=\"510\"><strong data-start=\"491\" data-end=\"509\">Dynamic range<\/strong><\/th>\n<th data-start=\"510\" data-end=\"529\"><strong data-start=\"512\" data-end=\"527\">Where it is used<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"594\" data-end=\"795\">\n<tr data-start=\"594\" data-end=\"642\">\n<td><strong data-start=\"596\" data-end=\"606\">16 bit<\/strong><\/td>\n<td><strong data-start=\"609\" data-end=\"618\">96 dB<\/strong><\/td>\n<td>Audio CD, streaming<\/td>\n<\/tr>\n<tr data-start=\"643\" data-end=\"700\">\n<td><strong data-start=\"645\" data-end=\"655\">24 bit<\/strong><\/td>\n<td><strong data-start=\"658\" data-end=\"668\">144 dB<\/strong><\/td>\n<td>Professional registration<\/td>\n<\/tr>\n<tr data-start=\"701\" data-end=\"795\">\n<td><strong data-start=\"703\" data-end=\"719\">32-bit float<\/strong><\/td>\n<td><strong data-start=\"722\" data-end=\"746\">\u2248168 dB (flexible)<\/strong><\/td>\n<td>Advanced editing, no risk of clipping<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr data-start=\"797\" data-end=\"800\" \/>\n<h3 data-start=\"802\" data-end=\"828\"><strong data-start=\"806\" data-end=\"826\">Which bit depth should you choose?<\/strong><\/h3>\n<p data-start=\"830\" data-end=\"1013\"><strong data-start=\"830\" data-end=\"840\">16 bit<\/strong> \u2192 Standard for CDs and streaming. It has sufficient dynamic range for most listeners, but less margin to avoid distortion during recording. Do not use it for multitrack processing, but only for exporting files for CD production, for files to be uploaded to streaming platforms, and for distributing music in general.<\/p>\n<p data-start=\"1015\" data-end=\"1231\"><strong data-start=\"1015\" data-end=\"1025\">24 bit<\/strong> \u2192 Professional standard for recording and mixing. It offers ample headroom for recording without worrying about background noise or clipping. It is the recommended choice for most multitrack projects, unless you have access to 32-bit floating point, which gives you even more headroom against clipping. In addition, you can export your work at 24-bit when you need a high dynamic resolution master to archive as a reference master and in all cases where it is required.<\/p>\n<p data-start=\"1233\" data-end=\"1565\"><strong data-start=\"425\" data-end=\"441\">32-bit float<\/strong> \u2192 It does not directly increase the dynamic range compared to 24-bit, but it allows for flexible signal management. The main advantage is that <strong data-start=\"586\" data-end=\"663\">within the DAW, the signal will not immediately clip beyond 0 dBFS<\/strong>, because the floating point format allows this limit to be exceeded with a tolerance of approximately <strong data-start=\"761\" data-end=\"770\">24 dB<\/strong> before the maximum representable value is reached. However, clipping can still occur in three cases: <strong data-start=\"892\" data-end=\"940\" data-is-only-node=\"\">if the level exceeds this tolerance as well<\/strong>, if the signal is converted to a 24-bit or 16-bit format without attenuation, or if an analogue emulation or saturation plugin is not designed to handle levels above 0 dBFS. For this reason, while offering greater security in recording and processing, 32-bit float does not eliminate the need to monitor signal levels.<\/p>\n<hr data-start=\"1567\" data-end=\"1570\" \/>\n<h3 data-start=\"1572\" data-end=\"1596\"><strong data-start=\"1576\" data-end=\"1594\">Practical examples<\/strong><\/h3>\n<p data-start=\"1598\" data-end=\"2058\"><strong>Are you recording?<\/strong> Use at least <strong data-start=\"1628\" data-end=\"1638\">24 bit<\/strong> To get the most dynamic range for your recordings, without worrying too much about the input level, you can manage it so that the maximum peaks of your tracks are between approximately -12 and -8 dB. If your DAW supports 32-bit float, use it.<br data-start=\"1713\" data-end=\"1716\" \/><strong data-start=\"1719\" data-end=\"1750\">Are you producing an album for the CD?<\/strong> The format <strong data-start=\"1762\" data-end=\"1772\">16 bit<\/strong> This is the standard for distribution, but it is advisable to record and mix at 24-bit and convert to 16-bit at the end.<\/p>\n<hr data-start=\"2060\" data-end=\"2063\" \/>\n<h3 data-start=\"0\" data-end=\"51\"><strong data-start=\"4\" data-end=\"49\">Impact on audio file size<\/strong><\/h3>\n<p data-start=\"53\" data-end=\"170\">The greater the bit depth, the more data is stored for each sample, increasing the file size.<\/p>\n<p data-start=\"172\" data-end=\"236\"><strong data-start=\"175\" data-end=\"234\">Size for 1 minute of stereo WAV audio (44.1 kHz):<\/strong><\/p>\n<ul data-start=\"237\" data-end=\"430\">\n<li data-start=\"237\" data-end=\"293\"><strong data-start=\"239\" data-end=\"249\">16 bit<\/strong> \u2192 <strong data-start=\"252\" data-end=\"261\">10 megabytes<\/strong> (standard CD, reduced space)<\/li>\n<li data-start=\"294\" data-end=\"356\"><strong data-start=\"296\" data-end=\"306\">24 bit<\/strong> \u2192 <strong data-start=\"309\" data-end=\"318\">15 megabytes<\/strong> (better quality, larger file)<\/li>\n<li data-start=\"357\" data-end=\"430\"><strong data-start=\"359\" data-end=\"375\">32-bit float<\/strong> \u2192 <strong data-start=\"378\" data-end=\"387\">20 megabytes<\/strong> (maximum flexibility, heavier file)<\/li>\n<\/ul>\n<p data-start=\"432\" data-end=\"651\" data-is-last-node=\"\" data-is-only-node=\"\">The impact on the CPU is minimal, but the use of <strong data-start=\"474\" data-end=\"490\">32-bit float<\/strong> requires more disk space and RAM. For distribution, it is advisable to convert to <strong data-start=\"571\" data-end=\"586\">16 bit<\/strong>, avoiding unnecessary clutter without any noticeable loss of quality.<\/p>\n<h2 data-start=\"160\" data-end=\"227\"><strong data-start=\"162\" data-end=\"225\">Signal-to-Noise Ratio (SNR): What is it and why is it important?<\/strong><\/h2>\n<p data-start=\"229\" data-end=\"508\">The <strong data-start=\"232\" data-end=\"289\">signal-to-noise ratio (SNR)<\/strong> indicates <strong data-start=\"297\" data-end=\"417\">how much stronger the useful signal (i.e. the sound we want to record) is than the unwanted background noise<\/strong>. It is measured in <strong data-start=\"432\" data-end=\"448\">decibel (dB)<\/strong> and the higher the value, the cleaner the recording will be.<\/p>\n<p data-start=\"510\" data-end=\"826\">A good SNR is essential for obtaining <strong data-start=\"550\" data-end=\"583\">clear and detailed sound<\/strong> without annoying hissing, buzzing or distortion. If the signal-to-noise ratio is too low, the recorded sound may be disturbed by noise, and during mixing, when we increase the volume, the noise will become even more noticeable.<\/p>\n<hr data-start=\"828\" data-end=\"831\" \/>\n<h3 data-start=\"833\" data-end=\"894\"><strong data-start=\"836\" data-end=\"892\">The three main sources of noise in the audio path<\/strong><\/h3>\n<p data-start=\"896\" data-end=\"1399\">1\ufe0f\u20e3 <strong data-start=\"900\" data-end=\"932\">Noise in digital processes<\/strong><br data-start=\"932\" data-end=\"935\" \/>In systems <strong data-start=\"947\" data-end=\"969\">purely digital<\/strong>, the noise is <strong data-start=\"983\" data-end=\"1011\">virtually non-existent<\/strong>. Quantisation noise, i.e. the noise introduced by the analogue-to-digital conversion process, is <strong data-start=\"1125\" data-end=\"1141\">negligible<\/strong> with adequate bit depth (24-bit or 32-bit float). Digital, therefore, <strong data-start=\"1223\" data-end=\"1259\">does not introduce any perceptible noise<\/strong> as long as the signal remains within a DAW (Digital Audio Workstation) or is processed without problematic format conversions.<\/p>\n<p data-start=\"1401\" data-end=\"1678\">2\ufe0f\u20e3 <strong data-start=\"1405\" data-end=\"1438\">Noise in AD\/DA converters<\/strong><br data-start=\"1438\" data-end=\"1441\" \/>Sound cards and converters <strong data-start=\"1474\" data-end=\"1527\">analogue-to-digital (AD) and digital-to-analogue (DA)<\/strong> have electronic circuits that can <strong data-start=\"1567\" data-end=\"1588\">introduce noise<\/strong>. The quality of the converter determines how much noise is added to the recording.<\/p>\n<p data-start=\"1680\" data-end=\"1743\"><strong data-start=\"1683\" data-end=\"1741\">Typical signal-to-noise ratio of audio converters:<\/strong><\/p>\n<ul data-start=\"1744\" data-end=\"2005\">\n<li data-start=\"1744\" data-end=\"1822\"><strong data-start=\"1746\" data-end=\"1779\">Economical or integrated cards<\/strong> \u2192 <strong data-start=\"1782\" data-end=\"1798\">SNR 80\u201395 dB<\/strong> (more noticeable noise)<\/li>\n<li data-start=\"1823\" data-end=\"1919\"><strong data-start=\"1825\" data-end=\"1861\">Mid-range audio interfaces<\/strong> \u2192 <strong data-start=\"1864\" data-end=\"1882\">SNR 100\u2013110 dB<\/strong> (good compromise for home studios)<\/li>\n<li data-start=\"1920\" data-end=\"2005\"><strong data-start=\"1922\" data-end=\"1952\">Professional converters<\/strong> \u2192 <strong data-start=\"1955\" data-end=\"1973\">SNR 120\u2013130 dB<\/strong> (almost no audible noise)<\/li>\n<\/ul>\n<p data-start=\"2007\" data-end=\"2155\">If the converter's SNR is low, background noise will be more noticeable in quiet passages or when the volume is increased in post-production.<\/p>\n<p data-start=\"2157\" data-end=\"2394\">3\ufe0f\u20e3 <strong data-start=\"2161\" data-end=\"2192\">Noise in preamplifiers<\/strong><br data-start=\"2192\" data-end=\"2195\" \/>I <strong data-start=\"2197\" data-end=\"2229\">microphone preamplifiers<\/strong> are used to amplify the signal before it reaches the AD converter. If the preamp is <strong data-start=\"2316\" data-end=\"2336\">of poor quality<\/strong>, introduces noise and degrades the signal-to-noise ratio.<\/p>\n<p data-start=\"2396\" data-end=\"2437\"><strong data-start=\"2399\" data-end=\"2435\">Typical SNR of preamplifiers:<\/strong><\/p>\n<ul data-start=\"2438\" data-end=\"2752\">\n<li data-start=\"2438\" data-end=\"2539\"><strong data-start=\"2440\" data-end=\"2518\">Entry-level (inexpensive preamplifiers or integrated into basic interfaces)<\/strong> \u2192 <strong data-start=\"2521\" data-end=\"2537\">SNR 80\u201395 dB<\/strong><\/li>\n<li data-start=\"2540\" data-end=\"2640\"><strong data-start=\"2542\" data-end=\"2618\">Mid-range (good quality interfaces or inexpensive standalone preamps)<\/strong> \u2192 <strong data-start=\"2621\" data-end=\"2638\">SNR 95\u2013110 dB<\/strong><\/li>\n<li data-start=\"2641\" data-end=\"2752\"><strong data-start=\"2643\" data-end=\"2729\">High quality (standalone professional preamplifiers or top-of-the-range interfaces)<\/strong> \u2192 <strong data-start=\"2732\" data-end=\"2750\">SNR 110\u2013130 dB<\/strong><\/li>\n<\/ul>\n<p data-start=\"2754\" data-end=\"3093\">I <strong data-start=\"2756\" data-end=\"2789\">dynamic and ribbon microphones<\/strong> produce very weak signals, requiring <strong data-start=\"2834\" data-end=\"2846\">more gain<\/strong> from the preamp. If the preamplifier is not of high quality, more gain means <strong data-start=\"2924\" data-end=\"2938\">more noise<\/strong>. To avoid problems, we recommend <strong data-start=\"2975\" data-end=\"3033\">a quality preamplifier or signal booster<\/strong> (e.g. Cloudlifter) for microphones with very low output.<\/p>\n<h3 data-start=\"3100\" data-end=\"3161\"><strong data-start=\"3103\" data-end=\"3159\">The optimal recording level for a good SNR<\/strong><\/h3>\n<p data-start=\"3163\" data-end=\"3372\">Record <strong data-start=\"3174\" data-end=\"3190\">too low<\/strong> leads to a worse SNR, because when we increase the volume in the mix, the background noise is also amplified. Recording <strong data-start=\"3308\" data-end=\"3323\">too high<\/strong> risks clipping and digital distortion.<\/p>\n<p data-start=\"3374\" data-end=\"3419\"><strong data-start=\"3377\" data-end=\"3417\">Recommended levels for home studios:<\/strong><\/p>\n<ul data-start=\"3420\" data-end=\"3842\">\n<li data-start=\"3420\" data-end=\"3548\"><strong data-start=\"3422\" data-end=\"3450\">Peaks between -12 and -9 dBFS<\/strong> \u2192 <strong data-start=\"3453\" data-end=\"3471\">Ideal level<\/strong> to maintain a good safety margin without introducing too much noise.<\/li>\n<li data-start=\"3549\" data-end=\"3724\"><strong data-start=\"3551\" data-end=\"3572\">Peaks at -18 dBFS<\/strong> \u2192 Acceptable, but if the preamp is not of excellent quality, you may need to increase the volume too much in the mix, causing noise to emerge.<\/li>\n<li data-start=\"3725\" data-end=\"3842\"><strong data-start=\"3727\" data-end=\"3751\">Peaks above -6 dBFS<\/strong> \u2192 Too risky, the safety margin is reduced and there is a risk of digital clipping.<\/li>\n<\/ul>\n<p data-start=\"3844\" data-end=\"4002\"><strong data-start=\"3847\" data-end=\"3865\">Rule of thumb<\/strong>: <strong data-start=\"3867\" data-end=\"3910\">Record with peaks between -12 and -9 dBFS<\/strong> It is the best option in a home studio for achieving a good balance between signal and noise.<\/p>\n<h3 data-start=\"4009\" data-end=\"4088\"><strong data-start=\"4012\" data-end=\"4086\">Noise in tape recorders: a problem or a feature?<\/strong><\/h3>\n<p data-start=\"4090\" data-end=\"4361\">In analogue systems, such as <strong data-start=\"4120\" data-end=\"4145\">tape recorders<\/strong>, the signal-to-noise ratio was <strong data-start=\"4178\" data-end=\"4225\">much lower than digital audio<\/strong>. A good quality reel-to-reel tape recorder had a <strong data-start=\"4278\" data-end=\"4304\">Typical SNR of 60-70 dB<\/strong>, much lower than modern digital systems.<\/p>\n<p data-start=\"4363\" data-end=\"4652\"><strong data-start=\"4366\" data-end=\"4410\">How was the tape noise compensated for?<\/strong><br data-start=\"4410\" data-end=\"4413\" \/>\u2705 The signal was recorded. <strong data-start=\"4440\" data-end=\"4466\">as strong as possible<\/strong> before saturation.<br data-start=\"4491\" data-end=\"4494\" \/>\u2705 Systems were used to <strong data-start=\"4518\" data-end=\"4537\">noise reduction<\/strong> such as Dolby or DBX to reduce noise.<br data-start=\"4578\" data-end=\"4581\" \/>\u2705 Noise was accepted as part of the \u201cwarmth\u201d of analogue sound.<\/p>\n<p data-start=\"4654\" data-end=\"4910\">Today, many manufacturers <strong data-start=\"4677\" data-end=\"4711\">search for the sound of the tape<\/strong> for its \u201cmusical\u201d quality, simulating it with emulation plugins. However, in the digital domain, a good SNR is always preferable, and \u201cvintage noise\u201d can only be added if desired.<\/p>\n<h3 data-start=\"4917\" data-end=\"4984\"><strong data-start=\"4920\" data-end=\"4982\">How can you improve the signal-to-noise ratio in your home studio?<\/strong><\/h3>\n<p data-start=\"4986\" data-end=\"5515\"><strong data-start=\"4989\" data-end=\"5019\">Choose the right microphone<\/strong> \u2192 If the microphone has a weak signal, use a <strong data-start=\"5067\" data-end=\"5111\">booster or a high-quality preamplifier<\/strong> to reduce noise.<br data-start=\"5134\" data-end=\"5137\" \/><strong data-start=\"5140\" data-end=\"5169\">Optimise gain staging<\/strong> \u2192 Aim for <strong data-start=\"5180\" data-end=\"5208\">peaks between -12 and -9 dBFS<\/strong> for a good balance between safety and quality.<br data-start=\"5259\" data-end=\"5262\" \/><strong data-start=\"5265\" data-end=\"5308\">Use good quality AD\/DA converters.<\/strong> \u2192 If the sound card has a low SNR, noise will be unavoidable.<br data-start=\"5374\" data-end=\"5377\" \/><strong data-start=\"5380\" data-end=\"5419\">Filter noise only when necessary<\/strong> \u2192 Noise gates and EQ can help, but they must be used with care so as not to degrade the sound.<\/p>\n<h3 data-start=\"5522\" data-end=\"5542\"><strong data-start=\"5525\" data-end=\"5540\">Conclusion<\/strong><\/h3>\n<p data-start=\"5544\" data-end=\"5772\">The <strong data-start=\"5547\" data-end=\"5574\">signal-to-noise ratio<\/strong> is essential for obtaining high-quality recordings. In digital systems, noise is <strong data-start=\"5668\" data-end=\"5684\">negligible<\/strong>, but the <strong data-start=\"5691\" data-end=\"5734\">AD\/DA converters and preamplifiers<\/strong> can still cause problems.<\/p>\n<p data-start=\"5774\" data-end=\"6020\">\u2705 <strong data-start=\"5776\" data-end=\"5862\">If you record too quietly, noise becomes noticeable when you turn up the volume in the mix.<\/strong><br data-start=\"5862\" data-end=\"5865\" \/>\u2705 <strong data-start=\"5867\" data-end=\"5935\">If you record too loudly, you risk clipping and digital distortion.<\/strong><br data-start=\"5935\" data-end=\"5938\" \/>\u2705 <strong data-start=\"5940\" data-end=\"6018\">Keeping peaks between -12 and -9 dBFS is the ideal strategy in a home studio.<\/strong><\/p>\n<p data-start=\"6022\" data-end=\"6185\" data-is-last-node=\"\" data-is-only-node=\"\">Understanding and optimising the SNR right from the recording stage allows you to achieve <strong data-start=\"6098\" data-end=\"6137\">a cleaner, more professional sound<\/strong>, reducing problems during mixing.<\/p>","protected":false},"excerpt":{"rendered":"<p>Introduzione Se lavori con l\u2019audio digitale o stai iniziando a esplorare il mondo della registrazione e del mixaggio, avrai incontrato termini come campionamento, oversampling, aliasing e profondit\u00e0 di bit. Li trovi nelle impostazioni della tua DAW (Digital Audio Workstation), nei plugin, nelle schede audio e nei convertitori AD\/DA (analogico-digitale e digitale-analogico). Ma come funzionano davvero? [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":599,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,7,10],"tags":[],"class_list":["post-598","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-audio","category-audio-recording","category-risorse-per-laudio"],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/posts\/598","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/comments?post=598"}],"version-history":[{"count":0,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/posts\/598\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/media\/599"}],"wp:attachment":[{"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/media?parent=598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/categories?post=598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/alessandrofois.com\/en\/wp-json\/wp\/v2\/tags?post=598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}