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microsoft / MS-SNSD

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
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fix bug - snr levels should be strict int #15

Open ma7555 opened 4 years ago

ma7555 commented 4 years ago

fixes this bug

Traceback (most recent call last):
  File "e:/MS-SNSD-master/noisyspeech_synthesizer.py", line 125, in <module>
    main(cfg._sections[args.cfg_str])
  File "e:/MS-SNSD-master/noisyspeech_synthesizer.py", line 48, in main
    SNR = np.linspace(snr_lower, snr_upper, total_snrlevels)
  File "<__array_function__ internals>", line 6, in linspace
  File ".\anaconda3\lib\site-packages\numpy\core\function_base.py", line 121, in linspace
    .format(type(num)))
TypeError: object of type <class 'float'> cannot be safely interpreted as an integer.
anupsingh15 commented 3 years ago

While computing SNR, you take the square root of the scalar; shouldn't you avoid it because you are considering the RMS values instead of the power?

ma7555 commented 2 years ago

this is the value of SNR levels between lower and upper levels. Can only be an integer