High-performance speech recognition for TVs with NLMS and beamforming

In order to remove TV noise effectively, a novel system, combination of single channel and multi-channel microphone-based noise reduction method, is proposed. A single channel filtering based on normalized least mean square is performed on each channel to reduce TV noise using a reference noise prov...

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Bibliographic Details
Published in2012 IEEE International Conference on Consumer Electronics (ICCE) pp. 263 - 264
Main Authors Jungpyo Hong, Sangjun Park, Jong-jin Lim, Bu-Yeol Lee, Minsoo Hahn
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2012
Subjects
Delay effects
Microwave integrated circuits
Noise
Noise reduction
Speech
Speech recognition
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Summary:In order to remove TV noise effectively, a novel system, combination of single channel and multi-channel microphone-based noise reduction method, is proposed. A single channel filtering based on normalized least mean square is performed on each channel to reduce TV noise using a reference noise provided by TV speaker output. After that, as a post-processing, generalized sidelobe canceller attenuates more the remaining nonstationary noises in input speeches. For performance evaluation, a HMM-based speaker recognition rate is measured and the recognition rate showed remarkable improvement.
ISBN:9781457702303
1457702304
ISSN:2158-3994
2158-4001
DOI:10.1109/ICCE.2012.6161858