Sector-Based Detection for Hands-Free Speech Enhancement in Cars
| Type of publication: | Journal paper |
| Citation: | lathoud06a |
| Journal: | EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing |
| Year: | 2006 |
| Note: | IDIAP RR 04-67 |
| Crossref: | lathoud-rr-04-67: |
| Abstract: | Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The ``implicit'' method varies the step-size continuously, based on the filtered output signal. The ``explicit'' method decides in a binary manner whether to adapt or not, based on a novel estimate of target and interference energies. It estimates the average delay-sum power within a volume of space, for the same cost as the classical delay-sum. Experiments on real in-car data validate both methods, including a case with 100 km/h background road noise. |
| Userfields: | ipdinar={2006}, ipdmembership={speech}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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