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Learn: Sound Representation
OCR GCSE J277 Computer Science specification
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Welcome!Today we'll explore sound representation, an important topic in Computer Science. You'll learn how computers store and process sound in digital formats.
What is Sound Representation?Sound representation refers to how sound is recorded, stored, and processed by computers. Computers convert sound into digital data using sampling techniques.
Sampling SoundSampling is the process of recording sound at regular intervals. These intervals are measured in sample rate (number of samples per second, measured in Hz).
What does the sample rate measure?
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Bit DepthBit depth refers to the number of bits used to store each sound sample. Higher bit depth means better sound quality because it allows more precise recording of sound values.
The {{blank0}} depth determines the {{blank1}} of sound samples stored.
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File Size FormulaThe size of a sound file depends on its sample rate, bit depth, and duration. The formula is: File size = sample rate × duration × bit depth.
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CompressionSound files can be compressed to reduce their size. Compression can be lossy (removes some data) or lossless (keeps all data). Lossy compression reduces quality but saves more space.
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Review Time!Great work! You've learned about sound representation, including sampling, bit depth, file size calculations, and compression. Let's test your understanding with a few questions.
Which factors affect the size of a sound file? (Select all that apply)
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What is the purpose of lossy compression?
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A higher {{blank0}} rate improves sound quality but also increases {{blank1}} size.
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Match the items on the left with their correct pairs on the right
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