1. 2010/12/11 Frequency Domain Blind Source Separation Based Noise Suppression to Hearing Aids (Part 3) Presenter: Cian-Bei Hong Advisor: Dr. Yeou-Jiunn Chen Date: 2010.12.1

2. 2010/12/12 Outline Introduction Purpose Literatures Review Materials & Methods Experiment Results Conclusions Future works

3. 2010/12/13 Experiment Results Experimental parameter Sample frequency8kHz Signal time5 s Frame size512 points (64 ms) Overlap size256 points (32 ms) Window functionHanning window

4. 2010/12/14 Experiment Results Sound spectrogram Fig. 9. Mixed signals spectrogramFig. 10. Separated signals spectrogram

5. 2010/12/15 Experiment Results Sound waveform Fig. 11. Mixed signals waveformFig. 12. Separated signals waveform

6. 2010/12/16 Conclusions The noise suppression is one important of the signal processing to hearing aids. Using independent component analysis can obtain the original signal components efficiently by separate mixed signals.

7. 2010/12/17 Future works To promote the performance of speech signals separated operation by speech enhancement. The estimation time must consider with the effect of delay time. Implement of improve intelligibility by signals modify and stereo display for binaural hearing aids.

8. 2010/12/18 Reference [1] S. M. Lee, J. H. Won, S. Y. Kwon, Y. C. Park, I. Y. Kim, S. I. Kim, “New idea of hearing aid algorithm to enhance speech discrimination in a noisy environment and its experimental results,” International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS ’04), pp. 976-978, 2004 [2] R. Mukai, H. Sawada, S. Araki, S. Makino, “Frequency Domain Blind Source Separation of Many Speech Signals Using Near-field and Far-field Models,” EURASIP Journal on Applied Signal Processing, vol. 2006, pp. 1-13, 2006 [3] A. Hyvärinen, J. Karhunen, E. Oja, Independent Component Analysis, John Wiley & Sons, Inc, 2001 [4] J. F. Cardoso, “High-order contrasts for independent component analysis,” Neural Computation, vol. 11, pp. 157-192, 1999 [5] H. Sawada, R. Mukai, S. Araki, and S. Makino, “A robust and precise method for solving the permutation problem of frequency-domain blind source separation,” IEEE Transactions on Speech and Audio Processing, vol. 12, no. 5, pp. 530-538, 2004

9. 2010/12/19 Thank you for your attention