The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
MIT License
468
stars
142
forks
source link
Replace sf.read with librosa.load to load correct sr based on config … #24
audiolib.py line 18 used sf.read() which ignored the specified sr rate the user wanted in the config. I replaced sf.read() with librosa.load(sr = config['sr']) so that the audio file is loaded with the user specified sr.
audiolib.py line 18 used sf.read() which ignored the specified sr rate the user wanted in the config. I replaced sf.read() with librosa.load(sr = config['sr']) so that the audio file is loaded with the user specified sr.