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.
For the function def snr_mixer(clean, noise, snr) in the audiolib.py file, I think there is something wrong.
First, line 66 code: Function np.sqrt( ) may be unnecessary.
Second, as clean and noise have been normalized to -25 dBFS, noisescalar may not need to be calculated using rmsclean and rmsnoise.
chandanka90
commented
4 years ago
For the function def snr_mixer(clean, noise, snr) in the audiolib.py file, I think there is something wrong. First, line 66 code: Function np.sqrt( ) may be unnecessary. Second, as clean and noise have been normalized to -25 dBFS, noisescalar may not need to be calculated using rmsclean and rmsnoise.