DocumentCode :
1881896
Title :
An automotive application of real-time adaptive Wiener filter for non-stationary noise cancellation in a car environment
Author :
Chen, Yen-Hsiang ; Ruan, Shanq-Jang ; Qi, Tom
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
12-15 Aug. 2012
Firstpage :
597
Lastpage :
601
Abstract :
Wiener filter is one of the most fundamental noise-reduction approaches among numerous techniques. The speech recognition in an in-vehicle environment needs a non-stationary noise cancellation to eliminate the background noise. However, few efforts have been reported to show the effectiveness of Wiener filter. Not much has been evaluated how the Wiener filter really works for reducing the non-stationary noise in real-time. In this paper, a real-time adaptive Wiener filter with two microphones is implemented to reduce noisy speech when noise signals and desired speech are incoming simultaneously. Furthermore, in order to build a real-time noise canceller, this paper also gives an analysis of different matrix sizes of the Wiener filter so as to enable the possibility of real-time implementation. The performance of the proposed design is measured by as much as 20dB noise reduction, and the proposed adaptive Wiener matrix update speed achieves a 28.6 ms/frame, with a matrix size of 200.
Keywords :
Wiener filters; interference suppression; speech enhancement; speech recognition; ASR system; adaptive Wiener matrix update speed; automatic speech recognition system; automotive application; car environment; in-vehicle environment; microphones; mobile phone speech enhancement; noise reduction; nonstationary noise cancellation; real-time adaptive Wiener filter; Microphones; Noise cancellation; Noise measurement; Real-time systems; Signal to noise ratio; Speech; Wiener filter; noise cancellation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-2192-1
Type :
conf
DOI :
10.1109/ICSPCC.2012.6335628
Filename :
6335628
Link To Document :
بازگشت