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Hello and welcome to production bytes#39’m your host Vera Nova and today IN#39;going to be covering digital audio anyhow it works in this tutorial IN#39’m going to cover the very basics and in the next video IN#39’m going to cover some more of the advanced principles of digital audios you#39’re familiar with a wave form hopefully but how do we go from a soundwave such as the sine wave to a digital recording which displays a sine wave this is done through sampling and when Say sampling IN#39’m not referring to taking sections of audio from other people#39;music and using them in your own but instead taking regular measurements of the waveform throughout its cycle so when a sound is converted to digital audio regular measurements are taken of the waveformsamplitude over time the number of measurements taken per second is known as the sampling rate and typically thesis 44,000 100 times per second and misrepresented in Hertz which is scientific term meaning cycles per second 44,100 samples or measurements per second is 44.1 kilohertz audio thereat also plenty of other sampling rates available depending on your hardware and software setup but 44.1 kilohertz audios the most common and is used on pretty much every consumer format such as CDmp3 AAC and black audio so that#39’s how the sound wave amplitude is stored overtime but how do we represent the amplitudes of each analog sample digitally each sample is stored as digital data which means it#39’s stored ASA binary value and the number of variations in a single binary value orbit is 2ab it can be either 0 or 1obviously a sound wave is not either 0or 1 so typically 16 bits are used to store each samples amplitude to give greater resolution between these two points this is known as a bit of depth and 24and 32 bit depths are also used unprofessional audio to give extra resolution to maintain quality through the production process, but 16 bit is the consumer standard something useful to know is the actual resolution that 16 24 32-bit audio provides, and you can work this out using some fairly simple math just by knowing the bit depth to possible binary values per bits to the power of the number orbits per sample will give you the resolution available for the amplitude of the audio, so 16-bit audio would be 2to the power of 16 which is 65536possible amplitudes and 24-bit would be2 to the power of 24 which is a bignumberin case you done#39’t fully understand this yet IN#39’m going to go back to an analogy Used in the preparing for mastering video with 44 point 1 kilohertz 16-bitaudio we have a time resolution 44 point one kilohertz and an amplitude resolution of 65,536 values so just apply this to a digital image which has horizontal and vertical axis each with their own resolution in pixels time resolution is the horizontal axis and amplitude resolution is the vertical axis and in fact if you zoom in on waveform in audacity or any audio editor you can see all the sampling points San image in the vertical...
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