985496146dd1ebdc3a43ac921de627c6b61b5200,audio.py,,load_wav,#,10

Before Change




def load_wav(path):
    return librosa.core.load(path, sr=hparams.sample_rate)[0]


def save_wav(wav, path):
    wav *= 32767 / max(0.01, np.max(np.abs(wav)))

After Change


    if x.dtype == np.int16:
        x = x.astype(np.float32) / signed_int16_max
    if sr != hparams.sample_rate:
        x = librosa.resample(x, sr, hparams.sample_rate)
    x = np.clip(x, -1.0, 1.0)
    return x


def save_wav(wav, path):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: r9y9/wavenet_vocoder
Commit Name: 985496146dd1ebdc3a43ac921de627c6b61b5200
Time: 2019-08-25
Author: zryuichi@gmail.com
File Name: audio.py
Class Name:
Method Name: load_wav


Project Name: nilmtk/nilmtk
Commit Name: 53823a31d05f187df7967b7208ce97f584964551
Time: 2014-12-20
Author: jack-list@xlk.org.uk
File Name: nilmtk/electric.py
Class Name: Electric
Method Name: activity_distribution


Project Name: neuropsychology/NeuroKit.py
Commit Name: 628c6db73c74fdb798c6fdb375a5903807de1511
Time: 2017-05-17
Author: dom.mak19@gmail.com
File Name: examples/UnderDev/ECG_Signal_Quality_Classifier/classifier.py
Class Name:
Method Name: