jimbozhang commited on
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dc01e20
1 Parent(s): ed16922

Add word/phone level scores

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Files changed (2) hide show
  1. README.md +22 -5
  2. speechocean762.py +14 -0
README.md CHANGED
@@ -42,10 +42,10 @@ pip install soundfile
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  >>> next(iter(test_set))
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  {'file': 'WAVE/SPEAKER0003/000030012.WAV',
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- 'audio': {'path': 'WAVE/SPEAKER0003/000030012.WAV',
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- 'array': array([-0.00119019, -0.00500488, -0.00283813, ..., 0.00274658,
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- 0. , 0.00125122]),
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- 'sampling_rate': 16000},
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  'text': 'MARK IS GOING TO SEE ELEPHANT',
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  'speaker': '0003',
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  'gender': 'm',
@@ -53,7 +53,24 @@ pip install soundfile
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  'accuracy': 9,
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  'fluency': 9,
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  'prosodic': 9,
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- 'total': 9}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ## The scoring metric
 
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  >>> next(iter(test_set))
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  {'file': 'WAVE/SPEAKER0003/000030012.WAV',
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+ 'audio': {
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+ 'path': 'WAVE/SPEAKER0003/000030012.WAV',
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+ 'array': array([-0.00119019, -0.00500488, -0.00283813, ..., 0.00274658, 0. , 0.00125122]),
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+ 'sampling_rate': 16000},
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  'text': 'MARK IS GOING TO SEE ELEPHANT',
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  'speaker': '0003',
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  'gender': 'm',
 
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  'accuracy': 9,
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  'fluency': 9,
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  'prosodic': 9,
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+ 'total': 9,
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+ 'words': {'text': ['MARK', 'IS', 'GOING', 'TO', 'SEE', 'ELEPHANT'],
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+ 'accuracy': [10, 10, 10, 10, 10, 10],
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+ 'stress': [10, 10, 10, 10, 10, 10],
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+ 'total': [10, 10, 10, 10, 10, 10],
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+ 'phones': [['M', 'AA0', 'R', 'K'],
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+ ['IH0', 'Z'],
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+ ['G', 'OW0', 'IH0', 'NG'],
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+ ['T', 'UW0'],
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+ ['S', 'IY0'],
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+ ['EH1', 'L', 'IH0', 'F', 'AH0', 'N', 'T']],
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+ 'phones-accuracy': [[2.0, 2.0, 1.8, 2.0],
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+ [2.0, 1.8],
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+ [2.0, 2.0, 2.0, 2.0],
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+ [2.0, 2.0],
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+ [2.0, 2.0],
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+ [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]],
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+ 'mispronunciations': ['[]', '[]', '[]', '[]', '[]', '[]']}}
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  ```
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  ## The scoring metric
speechocean762.py CHANGED
@@ -71,6 +71,19 @@ class Speechocean762(datasets.GeneratorBasedBuilder):
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  "fluency": datasets.Value("int16"),
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  "prosodic": datasets.Value("int16"),
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  "total": datasets.Value("int16"),
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ),
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  homepage=_HOMEPAGE,
@@ -110,4 +123,5 @@ class Speechocean762(datasets.GeneratorBasedBuilder):
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  "fluency": row["fluency"],
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  "prosodic": row["prosodic"],
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  "total": row["total"],
 
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  }
 
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  "fluency": datasets.Value("int16"),
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  "prosodic": datasets.Value("int16"),
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  "total": datasets.Value("int16"),
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+ "words": datasets.Sequence(
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+ feature={
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+ "text": datasets.Value("string"),
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+ "accuracy": datasets.Value("int16"),
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+ "stress": datasets.Value("int16"),
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+ "total": datasets.Value("int16"),
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+ "phones": datasets.Sequence(datasets.Value("string")),
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+ "phones-accuracy": datasets.Sequence(
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+ datasets.Value("float")
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+ ),
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+ "mispronunciations": datasets.Value("string"),
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+ }
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+ ),
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  }
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  ),
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  homepage=_HOMEPAGE,
 
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  "fluency": row["fluency"],
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  "prosodic": row["prosodic"],
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  "total": row["total"],
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+ "words": row["words"],
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  }