IEEE/ACM Transactions on Audio Speech and Language Processing· 2014Q1
On Training Targets for Supervised Speech Separation
- 1,123citations
- Q1SCImago
- 2014year
Short summary
Supervised speech separation models trained with ideal ratio mask (IRM) or FFT-MASK targets outperform those using ideal binary mask (IBM) or spectral envelope targets, showing improved objective intelligibility and quality metrics.
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Signal ProcessingComputer Science