DocumentCode :
542323
Title :
Noise reduction using a small-scale microphone array in multi noise source environment
Author :
Akagi, Masato ; Kago, Takashi
Author_Institution :
School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Tatsunokuchi, Ishikawa 923-1292, Japan
Volume :
1
fYear :
2002
fDate :
13-17 May 2002
Abstract :
To construct a front-end for ASR systems using a small-scale microphone array in real environments, robustness for unstable sudden-noises, multi-noises and near-field sound sources are required. This paper proposes a front-end method for enhancing target signals that subtracts estimated noise from noisy signals by using paired microphones in each sub-band. The proposed method assumes one integrated noise source exists in each narrow sub-band, estimates its noise spectrum correctly using the cancellation method, and subtracts it from the noise-added sound spectrum using the SS. Thus, the proposed method can be used in multi noise source and near-field conditions, although it uses a small-scale microphone array consisting of only three microphones.
Keywords :
Artificial neural networks; Noise; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.2002.5743887
Filename :
5743887
Link To Document :
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