speechbrain
/

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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2e652bc

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1 Parent(s): 5b5c3b6

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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
 ```

 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
 ```