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 [BibTeX] [Marc21]
Sector-Based Detection for Hands-Free Speech Enhancement in Cars
Type of publication: Idiap-RR
Citation: lathoud-rr-04-67
Number: Idiap-RR-67-2004
Year: 2004
Institution: IDIAP
Address: Martigny, Switzerland
Note: Published in the EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing
Abstract: Speech-based command interfaces are becoming more and more common in cars. Applications include automatic dialog systems for hands-free phone calls as well as more advanced features such as navigation systems. However, interferences, such as speech from the codriver, can hamper a lot the performance of the speech recognition component, which is crucial for those applications. This issue can be addressed with {\em adaptive} interference cancellation techniques such as the Generalized Sidelobe Canceller~(GSC). In order to cancel the interference (codriver) while not cancelling the target (driver,',','), adaptation must happen only when the interference is active and dominant. To that purpose, this paper proposes two efficient adaptation control methods called ``implicit'' and ``explicit''. While the ``implicit'' method is fully automatic, the ``explicit'' method relies on pre-estimation of target and interference energies. A major contribution of this paper is a direct, robust method for such pre-estimation, directly derived from sector-based detection and localization techniques. Experiments on real in-car data validate both adaptation methods, including a case with 100 km/h background road noise.
Userfields: ipdinar={2004}, ipdmembership={speech}, language={English},
Keywords:
Projects Idiap
Authors Lathoud, Guillaume
Bourgeois, Julien
Freudenberger, J├╝rgen
Crossref by lathoud05b
lathoud06a
Added by: [UNK]
Total mark: 0
Attachments
  • rr-04-67.pdf
  • rr-04-67.ps.gz
Notes