Lossless audio compression halves data size with ratio varying by signal type

Evidence

Lossless methods typically achieve a compression ratio of around 2 to 1. That is, the data size after compression is typically half the size of the input. The actual amount of compression achieved is dependent on the nature of the input audio signal itself (i.e., what kind of music it is or if it is speech) and can vary from about 1.5 to 1 to 3 to 1. — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2580

Lossless methods typically achieve a compression ratio of around 2 to 1. That is, the data size after compression is typically half the size of the input. The actual amount of compression achieved is dependent on the nature of the input audio signal itself (i.e., what kind of music it is or if it is speech) and can vary from about 1.5 to 1 to 3 to 1. — David Howard, Jamie Angus, coustics and Psychoacoustics, 2575

Categorization

• XREF: Connects to the reader’s silence/psychoacoustics listening practice — lossless vs lossy tradeoffs determine what detail survives in the audio they hear.
• corroborated: 2 independent passages support this claim — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2580; David Howard, Jamie Angus, coustics and Psychoacoustics, 2575