Proceedings ArticleDOI
A real time robust adaptive microphone array controlled by an SNR estimate
Osamu Hoshuyama,B. Begasse,Akihiko Sugiyama,Akihiro Hirano +3 more
- Vol. 6, pp 3605-3608
TLDR
Evaluation through a real time signal-processing system demonstrates that noise reduction achieved by the RAMA is over 12 dB even in reverberant environments, and the AMC based on the SNR estimate causes less breathing noise than the conventional AMC.Abstract:
A robust adaptive microphone array (RAMA) using a new adaptation-mode control method (AMC) is proposed, and its evaluation results by hardware are presented. The adaptation of the RAMA is controlled based on an SNR (signal-to-noise) estimate using the output powers of the fixed beamformer and the adaptive blocking matrix. The RAMA is implemented on a multi-DSP real time signal-processing system with a C-compiler. Simulation results with real acoustic data show that the AMC based on the SNR estimate causes less breathing noise than the conventional AMC and that it obtains 1.0-point higher score on a 5-point mean opinion score scale. Evaluation through a real time signal-processing system demonstrates that noise reduction achieved by the RAMA is over 12 dB even in reverberant environments.read more
Citations
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Journal ArticleDOI
A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters
TL;DR: The proposed beamformer is shown to be robust to target-direction errors as large as 200 with almost no degradation in interference-reduction performance, and it can be implemented with several microphones.
Proceedings ArticleDOI
A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters
Osamu Hoshuyama,A. Sugiyama +1 more
TL;DR: Simulation results show that the proposed beamformer designed to allow about 20 degrees of look-direction error can suppress interference by more than 17 dB and can be implemented with a small number of microphones.
Patent
Multi-microphone voice activity detector
TL;DR: In this article, a dual microphone voice activity detector system is presented, which estimates the signal level and noise level at each microphone, and detects the presence of nearby sounds by comparing the level differential between the two microphones of nearby sound such as the signal and noise.
Journal ArticleDOI
Signal processing for in-car communication systems
Gerhard Schmidt,Tim Haulick +1 more
TL;DR: The basic processing units of an in-car communication system are described, which contain mostly standard algorithms such as beamforming, echo cancellation, and loss control but cannot be applied and controlled as in applications like hands-free telephones or preprocessing for speech recognition systems.
Book ChapterDOI
Robust Adaptive Beamforming
Osamu Hoshuyama,Akihiko Sugiyama +1 more
TL;DR: This chapter presents robust adaptive beamforming techniques designed specifically for microphone array applications, and GJBFs with an adaptive blocking matrix are presented in the form of a microphone array.
References
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Proceedings ArticleDOI
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Journal ArticleDOI
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