Hello everyone, I am the novice to audio coding. I simply use “torchaudio” to load WAV files whose format is PCM16 with sample rate=16kHz and bit depth=16bits. In addition, datatype of loaded tensor is torch.float32.
My questions are:
(1) What is the mechanism of representing PCM16bits by float32?
(2) Since original data has been quantized in terms of 16bits already,  finer representation(>16bits) cannot specify more details yet consume more hardware memories. Thus, what are necessity and benefit of using float32 to represent PCM16 by “torchaudio”?
Sincerely thanks for your reply!