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pierre-loic commited on
Commit
ab9b63b
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1 Parent(s): 45d4467

update model small feature, decision tree full

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Files changed (2) hide show
  1. model_audio.pkl +2 -2
  2. tasks/audio.py +1 -1
model_audio.pkl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:5fe08cedd9b82d026773e02cc8882bee6a8e5515a00b13899f8fbec5d6e5ae5e
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- size 25881
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:dccc5162edbe098f9e7b9f90b2085b860fe8ed762418f1951fac90a176d2866e
3
+ size 443961
tasks/audio.py CHANGED
@@ -56,7 +56,7 @@ async def evaluate_audio(request: AudioEvaluationRequest):
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  def extract_features(example, sampling_rate):
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  audio_array = example['audio']['array']
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  # mfcc = librosa.feature.mfcc(y=audio_array, sr=sampling_rate, n_mfcc=5)
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- mfcc = librosa.feature.spectral_centroid(y=audio_array)
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  return np.mean(mfcc, axis=1)
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  def predict_new_audio(model, dataset, sampling_rate):
 
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  def extract_features(example, sampling_rate):
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  audio_array = example['audio']['array']
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  # mfcc = librosa.feature.mfcc(y=audio_array, sr=sampling_rate, n_mfcc=5)
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+ mfcc = librosa.feature.spectral_contrast(y=audio_array)
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  return np.mean(mfcc, axis=1)
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  def predict_new_audio(model, dataset, sampling_rate):