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ab9b63b
1
Parent(s):
45d4467
update model small feature, decision tree full
Browse files- model_audio.pkl +2 -2
- tasks/audio.py +1 -1
model_audio.pkl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:dccc5162edbe098f9e7b9f90b2085b860fe8ed762418f1951fac90a176d2866e
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size 443961
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tasks/audio.py
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@@ -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.
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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):
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