Row 5505

Row ID: 5505 | Dataset Entry | Axioma AXP Content Repository

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Hi. I'm trying to do ASR on Librispeech data and have a confusion about the data processing.

1. read .flac files from librispeech 2. normalise audio (x - x.mean()/x.std()) 3. convert to melspectogram (n_mels = 128) 4. convert to db scale (top_db = 80) 5. 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)

And how do I normalise this spectogram? using torchvision.Normalise()?

Not many resources online about ASR and ones that are there are conflicting in what they do.

FieldValue
text Hi. I'm trying to do ASR on Librispeech data and have a confusion about the data processing. 1. read .flac files from librispeech 2. normalise audio (x - x.mean()/x.std()) 3. convert to melspectogram (n_mels = 128) 4. convert to db scale (top_db = 80) 5. 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) And how do I normalise this spectogram? usin…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-04-30
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Raw Record

{
  "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",
  "username_encoded": "Z0FBQUFBQm5LakwyY0F6R1Vkd1d0bjlrX1NXQ0htdDhzcHpYQ1NhTUlhUkJ5MUdTa21sTThSejkwZkI2aThmWFFyYzh1SVVpWDVNTlYzXzJGVkhaNlRGck5BUWxNbXhDNEE9PQ==",
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}
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