Adaptive postfiltering for enhancement of noisy speech in the frequency domain

Peter Kabal, Fang Ming Wang, Douglas O'Shaughnessy, Ravi P. Ramachandran

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

A novel frequency-domain adaptive postfilter for enhancement of noisy speech is presented. The postfilter suppresses the noise in spectral valleys and allows more noise in the formant regions where it is masked by the speech signal. First, the authors perform an LPC (linear predictive coding) analysis of the noisy speech and calculate its log magnitude spectrum. After identifying the formants and spectral valleys, the log magnitude spectrum is modified to obtain the postfilter frequency response. This response has local maxima of equal magnitude at the formant frequencies. Experimental results show that this novel frequency-domain approach results in enhanced speech of better perceptual quality than obtained by a time-domain method. The proposed method is especially efficient in eliminating high frequency noise and in preserving the weaker, high frequency formants in sonorant sounds.

Original languageEnglish (US)
Pages (from-to)312-315
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
StatePublished - Dec 1 1991
Externally publishedYes
Event1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) - Singapore, Singapore
Duration: Jun 11 1991Jun 14 1991

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Adaptive postfiltering for enhancement of noisy speech in the frequency domain'. Together they form a unique fingerprint.

Cite this