An auditory-domain based speech enhancement algorithm

Harish Krishnamoorthi, Andreas Spanias, Visar Berisha, Homin Kwon, Harvey Thornburg

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

Abstract

Typically, speech enhancement algorithms minimize a suitable error criterion in the spectral or time domain. Although the error criterions have included perceptual properties such as masking thresholds, non-uniform frequency resolution and sensitivity of the auditory system, these are only done heuristically and the error criterion does not explicitly include an auditory model in their formulation. In this paper, we propose an auditory-domain based speech enhancement algorithm that minimizes the distortion between the auditory representation of the estimated and desired signal. Simulation results indicate that the proposed algorithm performs effectively under different noise conditions and also results in a lower average loudness error.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages4786-4789
Number of pages4
DOIs
StatePublished - Nov 8 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

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

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period3/14/103/19/10

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Keywords

  • Auditory representation
  • Loudness
  • Psychoacoustics
  • Speech enhancement

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Krishnamoorthi, H., Spanias, A., Berisha, V., Kwon, H., & Thornburg, H. (2010). An auditory-domain based speech enhancement algorithm. In 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings (pp. 4786-4789). [5495147] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2010.5495147