Data:
{
"text": "Hi. I'm trying to do ASR on Librispeech data and have a confusion about the data processing.\n\n1. read .flac files from librispeech\n2. normalise audio (x - x.mean()/x.std())\n3. convert to melspectogram (n_mels = 128)\n4. convert to db scale (top_db = 80)\n5. normalise spectogram (how? using torchvision? does someone know mean/std? I calculated it for the dataset it comes up to be: mean,std = -0.2, 1.1. This doesn't seem right? can someone verify please)\n\nAnd how do I normalise this spectogram? using torchvision.Normalise()?\n\nNot many resources online about ASR and ones that are there are conflicting in what they do.\n",
"label": "r/pytorch",
"dataType": "post",
"communityName": "r/pytorch",
"datetime": "2024-04-30",
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}