Optimal multi-microphone speech enhancement in cars

Lae Hoon Kim, Mark Hasegawa-Johnson

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

Abstract

Hands-free speech telephony and speech recognition in cars suffer from additive noise and reverberation. We propose an iterative blind room impulse response (RIR) estimation algorithm based on an analysis-by-synthesis loop closed around a multi-path generalized sidelobe canceller (GSC). By combining a post-filter with the proposed scheme, optimal speech enhancement in practical situations can be achieved. The algorithm is tested using simulated data and real speech recordings from the AVICAR database.

Original languageEnglish (US)
Title of host publicationDigital Signal Processing for In-Vehicle Systems and Safety
Pages195-204
Number of pages10
DOIs
StatePublished - Dec 1 2012
Event4th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems and Safety, DSP 2009 - Dallas, TX, United States
Duration: Jun 25 2009Jun 27 2009

Publication series

NameDigital Signal Processing for In-Vehicle Systems and Safety

Other

Other4th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems and Safety, DSP 2009
CountryUnited States
CityDallas, TX
Period6/25/096/27/09

Keywords

  • Hands-free communication
  • In-car speech recognition
  • Multi-path generalized sidelobe canceller (GSC)
  • Room impulse response (RIR)

ASJC Scopus subject areas

  • Automotive Engineering
  • Control and Systems Engineering

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  • Cite this

    Kim, L. H., & Hasegawa-Johnson, M. (2012). Optimal multi-microphone speech enhancement in cars. In Digital Signal Processing for In-Vehicle Systems and Safety (pp. 195-204). (Digital Signal Processing for In-Vehicle Systems and Safety). https://doi.org/10.1007/978-1-4419-9607-7_13