Extending the Bandwidth of NarrowBand Speech Using Cepstral Linear Prediction

8. Conclusion

We have proposed a post processing technique for extending the high band envelope of narrow band speech using linear prediction of cepstral coefficients. Our method shows low spectral distortion from an objective view. Subjective quality of the output is superior when compared to the spectral folding method [2] and the zero crossing enhanced spectral folding method [7].

References

[1] C. Avendano, H. Hermansky and E.A Wan, "Beyond Nyquist: Towards recovery of broad-bandwidth speech from narrow bandwidth speech", European Conference on Speech Communications and Technology EUROSPEECH (Madrid), pp. 165-168, 1995.

[2] Hiroshi Yasukawa, "A Simple Method of Broad Band Speech Recovery from Narrow Band Speech for Quality Enhancement", Proceedings of IEEE Digital Signal Processing Workshop, 1996.

[3] J.Epps and W.H Holmes, "A New Technique For Wideband Enhancement of Coded Narrowband Speech", IEEE Workshop on Speech Coding Proceedings, Finland, 1999

[4] J.D. Markel and A.H. Gray: Linear Prediction of Speech, Springer-Verlag, Germany 1976.

[5] David Heide and George Kang, "Speech Enhancement For Bandlimited Speech", ICASSP Germany 1998.

[6] Ngo Wei Han, "Enhancement of NarrowBand Speech", Master of Science (Signal Processing) dissertation thesis, Nanyang Technological University, 2002.

[7] I. Y. Soon, S.N. Koh, C.K. Yeo, W.H. Ngo, " Transformation of narrowband speech into wideband speech with aid of zero crossings rate", Electronics Letters , Vol 38, Issue 24, 2002, pp 1607 -1608

Previous Page | Next Page
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8

This paper was originally published at the Joint Proceedings of the Fourth International Conference on Information, Communications & Signal Processing and the IEEE Pacific Rim Conference on Multimedia held in Singapore on 18th December 2003.

If you found this page useful, bookmark and share it on:

 
Embedded Star Newsletter
Don't have time to visit Embedded Star everyday? Then sign up for our free newsletter. We'll send you an email when we have something to share with you. Your email address will be kept confidential and we will not share, sell, or rent it to anyone. You can unsubscribe at any time by clicking a link in the email.

Enter your email address to sign up for our free newsletter:   

If you are familiar with RSS feeds, you can also sign up for our free blog feed. Our RSS feed is updated in real-time while our newsletter is updated daily.