Why does 24-bit wave file introduce errors?

4 visualizzazioni (ultimi 30 giorni)
Thomas
Thomas il 3 Giu 2020
Risposto: Thomas il 3 Giu 2020
I have found that writing and reading 24-bit data to a .wav file introduces errors even though the format is uncompressed. This does not occur with 32-bit data. The following code
for bitsPerSample = [32 24]
% Generate random integers that fit within the sample width
B = 2^(bitsPerSample - 1);
xlims = [-B, B-1];
x = randi(xlims, [100 1], 'int32');
% Write data to and read data from file
audiowrite('tmp.wav', x, 8000, 'BitsPerSample', bitsPerSample);
info = audioinfo('tmp.wav');
y = audioread('tmp.wav', 'native');
% Compare written and read data
fprintf('Bits per sample is %d\n', bitsPerSample)
fprintf('CompressionMethod is ''%s''\n', info.CompressionMethod)
fprintf('Std. deviation between written and read data is %.1f\n\n', ...
std(double(x) - double(y)))
end
generates the following output in R2015b
Bits per sample is 32
CompressionMethod is 'Uncompressed'
Std. deviation between written and read data is 0.0
Bits per sample is 24
CompressionMethod is 'Uncompressed'
Std. deviation between written and read data is 77.6
What causes the precision loss?

Risposta accettata

Thomas
Thomas il 3 Giu 2020
I deduced my own answer. When audiowrite is given int32 data to write as 24-bit samples, it considers the data to have 32 bits and drops the least significant 8 bits. Thus, 24-bit data should be multiplied by 2^8 before sending to audiowrite. Inserting a scaling statement into the code
for bitsPerSample = [32 24]
% Generate random integers that fit within the sample width
B = 2^(bitsPerSample - 1);
xlims = [-B, B-1];
x = randi(xlims, [100 1], 'int32');
if bitsPerSample == 24, x = x * 2^8; end % Scale 24-bit data to 32-bit limits
% Write data to and read data from file
audiowrite('tmp.wav', x, 8000, 'BitsPerSample', bitsPerSample);
info = audioinfo('tmp.wav');
y = audioread('tmp.wav', 'native');
% Compare written and read data
fprintf('Bits per sample is %d\n', bitsPerSample)
fprintf('CompressionMethod is ''%s''\n', info.CompressionMethod)
fprintf('Std. deviation between written and read data is %.1f\n\n', ...
std(double(x) - double(y)))
end
eliminates the precision loss:
Bits per sample is 32
CompressionMethod is 'Uncompressed'
Std. deviation between written and read data is 0.0
Bits per sample is 24
CompressionMethod is 'Uncompressed'
Std. deviation between written and read data is 0.0

Più risposte (0)

Categorie

Scopri di più su Data Import and Analysis in Help Center e File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by