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Hello, I have a clean trainset .wav files with following characteristics: bitrate: 128 kb/s, Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, 1 channels, s16, 128 kb/s
and noisy trainset .wav files with (files are generated by encoding clean wavs to .gsm then to .wav format): encoder : Lavf58.20.100, bitrate: 128 kb/s Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 8000 Hz, 1 channels, s16, 128 kb/s
Size of the dataset is small - 824 files
Can you suggest the best training experience like: code modifications, number of epochs, batch size, etc to set?
Or I should increase the training set?
Thank you
The text was updated successfully, but these errors were encountered:
@santi-pdp I would really appreciate your help
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Hello,
I have a clean trainset .wav files with following characteristics:
bitrate: 128 kb/s, Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, 1 channels, s16, 128 kb/s
and noisy trainset .wav files with (files are generated by encoding clean wavs to .gsm then to .wav format):
encoder : Lavf58.20.100, bitrate: 128 kb/s
Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 8000 Hz, 1 channels, s16, 128 kb/s
Size of the dataset is small - 824 files
Can you suggest the best training experience like: code modifications, number of epochs, batch size, etc to set?
Or I should increase the training set?
Thank you
The text was updated successfully, but these errors were encountered: