Sound Representation (Cambridge (CIE) A Level Computer Science) : Revision Note
Sound encoding
How is sound encoded in a computer system?
Computers represent all data in binary, including sound that we record using a microphone (input) or sound that we playback from a speaker (output)
For this to happen, analogue sound must be sampled and stored
Analogue sound
Sound waves begin as analogue and for a computer system to understand them they must be converted into a digital form
Measurements of the original sound wave are captured and stored as binary on secondary storage
This process is called Analogue to Digital conversion (A2D)
The process begins by measuring the loudness (amplitude) of the analogue sound wave at a point in time, this is called sampling
The higher the amplitude, the louder the sound
Each measurement (sample) generates a value which can be represented in binary and stored
Using the samples, a computer is able to create a digital version of the original analogue wave
The digital wave is stored on secondary storage and can be played back at any time by reversing the process

In this example, the grey line represents the digital wave that has been created by taking samples of the original analogue wave
In order for the digital wave to look more like the analogue wave (black line) the sampling rate, sampling resolution and sample interval can be changed
Sampling rate vs sampling resolution
Sampling rate
The sampling rate is the amount of samples taken per second of the analogue wave
Samples are taken for the duration of the sound
The sampling rate is measured in Hertz (Hz)
1 Hertz is equal to 1 sample of the sound wave

In the example above, the higher the sample rate, the closer to the original sound wave the digital version looks
Sampling resolution
Sampling resolution is the number of bits used to represent each sound sample
Sampling resolution is closely related to the bit depth of a bitmap image, they measure the same thing in different contexts

The sample rate of a typical audio CD is 44.1kHz (44,100 Hertz or 44,100 samples per second), a sampling resolution of 16 and is recorded in stereo sound
Using the graphic above to compare common sampling resolutions, the question, “Why does telephone hold music sound so bad?” can now be answered
Impact of sampling settings
What are the impacts of sampling settings?
Factor | Effect of playback quality | Effect on file size |
---|---|---|
Sampling rate | ⬆️higher = more detail, better sound quality | ⬆️higher = more data, larger file size |
Sampling resolution | ⬆️higher = bigger range, better sound quality | ⬆️higher = more data per sample, larger file size |
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