speechbrain
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REAL-M-sisnr-estimator

audio-source-separation

Source Separation

Speech Separation

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cemsubakan commited on Oct 22, 2021

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9f9b271

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@@ -87,7 +87,7 @@ est_sources = model.separate_file(path='test_mixture.wav')
 snr_est_model = snrest.from_hparams(source="speechbrain/REAL-M-sisnr-estimator",savedir='pretrained_models/REAL-M-sisnr-estimator')
 mix, fs = torchaudio.load('test_mixture.wav')
 snrhat = snr_est_model.estimate_batch(mix, est_sources)
-print(snrhat) # Estimates are in dB / 10
 ```

 snr_est_model = snrest.from_hparams(source="speechbrain/REAL-M-sisnr-estimator",savedir='pretrained_models/REAL-M-sisnr-estimator')
 mix, fs = torchaudio.load('test_mixture.wav')
 snrhat = snr_est_model.estimate_batch(mix, est_sources)
+print(snrhat) # Estimates are in dB / 10 (in the range 0-1, e.g., 0 --> 0dB, 1 --> 10dB)
 ```