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Considering the advantages of IBM, we compute the SNR and PESQ score using the speeches reconstructed from IBM as the ground truth instead of clean speeches.
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a Spectrogram of clean speech.
No clean speech is involved in training.
The test set contained both clean speech and noisy speech.
(a) clean speech; (b) mixture of clean speech and cocktail party noise; (c) segregated speech by the proposed method.
The speaker independent HMMs are trained by clean speech data.
For reasonably clean speech, this approach appears to be adequate.
The clean speech is then estimated using the regression coefficients.
We also performed evaluation experiments on clean speech ("ClnData").
Therefore, better estimation of the clean speech can be expected.
Here, "CS" denotes the input clean speech signal power.
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CEO of Professional Science Editing for Scientists @ prosciediting.com