An improved estimation of a priori speech absence probability for speech enhancement: In perspective of speech perception

Min Seok Choi, Hong Goo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The purpose of this paper is to improve the perceptual quality of a single channel speech enhancement algorithm using MMSE LSA estimator. The proposed algorithm uses a non-linear decision rule and an adaptive recursive averaging factor for tracking a priori speech absence probability (SAP) fast. We also introduce one-third of approximated critical bandwidth to efficiently smooth the a priori SAP and final gain term, which successfully eliminates the musical noise without much distortion of signal. The performance of the proposed algorithm is evaluated by performing subjective A/B listening tests and measuring spectral distance. Simulation results verify the effectiveness of the proposed algorithm compared to conventional algorithms.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesI1117-I1120
ISBN (Print)0780388747, 9780780388741
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 2005 Mar 182005 Mar 23

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeI
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA
Period05/3/1805/3/23

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'An improved estimation of a priori speech absence probability for speech enhancement: In perspective of speech perception'. Together they form a unique fingerprint.

Cite this