Which lossy method for audio compression is responsible for encoding the difference between two consecutive samples? A. Silence Compression B. Linear Predictive Coding (LPC) C. Adaptive Differential Pulse Code modulation (ADPCM) D. Code Excited Linear Predictor (CELP)

[amp_mcq option1=”Silence Compression” option2=”Linear Predictive Coding (LPC)” option3=”Adaptive Differential Pulse Code modulation (ADPCM)” option4=”Code Excited Linear Predictor (CELP)” correct=”option3″]

The correct answer is C. Adaptive Differential Pulse Code modulation (ADPCM).

ADPCM is a lossy compression algorithm that encodes the difference between two consecutive samples of an audio signal. This is done by using a predictor to estimate the next sample value, and then encoding the difference between the actual sample value and the predicted value.

ADPCM is a very efficient compression algorithm, and it is often used in applications such as voice compression and music compression.

The other options are incorrect for the following reasons:

  • Silence Compression is a technique that is used to remove silence from audio recordings. It does not encode the difference between two consecutive samples.
  • Linear Predictive Coding (LPC) is a technique that is used to model the spectral envelope of an audio signal. It does not encode the difference between two consecutive samples.
  • Code Excited Linear Predictor (CELP) is a technique that is used to encode speech signals. It does not encode the difference between two consecutive samples.
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