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【cls】fix cls static model infer error. #3856

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Sep 29, 2024
Merged

【cls】fix cls static model infer error. #3856

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-red.svg"></a>
<a href="https://github.com/PaddlePaddle/PaddleSpeech/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleSpeech?color=ffa"></a>
<a href="support os"><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
<a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
<a href=""><img src="https://img.shields.io/badge/python-3.8+-aff.svg"></a>
<a href="https://github.com/PaddlePaddle/PaddleSpeech/graphs/contributors"><img src="https://img.shields.io/github/contributors/PaddlePaddle/PaddleSpeech?color=9ea"></a>
<a href="https://github.com/PaddlePaddle/PaddleSpeech/commits"><img src="https://img.shields.io/github/commit-activity/m/PaddlePaddle/PaddleSpeech?color=3af"></a>
<a href="https://github.com/PaddlePaddle/PaddleSpeech/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/PaddleSpeech?color=9cc"></a>
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7 changes: 5 additions & 2 deletions paddlespeech/cls/exps/panns/deploy/predict.py
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Expand Up @@ -17,7 +17,7 @@
import numpy as np
from paddle import inference
from paddle.audio.datasets import ESC50
from paddle.audio.features import MelSpectrogram
from paddle.audio.features import LogMelSpectrogram
from paddleaudio.backends import soundfile_load as load_audio
from scipy.special import softmax

Expand Down Expand Up @@ -53,7 +53,10 @@ def extract_features(files: str, **kwargs):
pad_width = max_length - len(waveforms[i])
waveforms[i] = np.pad(waveforms[i], pad_width=(0, pad_width))

feat = MelSpectrogram(waveforms[i], sr, **kwargs).transpose()
feature_extractor = LogMelSpectrogram(sr, **kwargs)
feat = feature_extractor(paddle.to_tensor(waveforms[i]))
feat = paddle.transpose(feat, perm=[1, 0]).unsqueeze(0)

feats.append(feat)

return np.stack(feats, axis=0)
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