Abstract
Recently, our team developed a novel Expectation Maximization (EM) framework for speech enhancement. It gives a significantly improved estimation of the speech power spectrum that outperforms many traditional approaches. In this paper, we further extend the EM framework by including an efficient iterative noise estimation algorithm, which improves the estimation of the noise power spectrum from the noisy observation. Besides, we notice that some speech frames, particularly those with high signal to noise ratio (SNR), need to be monitored closely during the iterative enhancement process, or spectral distortion may result. A stopping criterion is thus developed to stop the iteration when a good result has been achieved. Experimental results show that the new approach gives a significant improvement over the original EM framework and also traditional speech enhancement methods.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Digital Signal Processing, DSP 2015 |
Publisher | IEEE |
Pages | 287-291 |
Number of pages | 5 |
Volume | 2015-September |
ISBN (Electronic) | 9781479980581 |
DOIs | |
Publication status | Published - 9 Sept 2015 |
Event | IEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore Duration: 21 Jul 2015 → 24 Jul 2015 |
Conference
Conference | IEEE International Conference on Digital Signal Processing, DSP 2015 |
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Country/Territory | Singapore |
City | Singapore |
Period | 21/07/15 → 24/07/15 |
Keywords
- EM algorithm
- iterative regularization
- noise power spectral density estimation
- Speech enhancement
ASJC Scopus subject areas
- Signal Processing