DocumentCode
3019237
Title
Adaptive noise cancellation for speech with a TMS32020
Author
Yeh, Hen-geul
Author_Institution
California State University, Long Beach, CA, USA
Volume
12
fYear
1987
fDate
31868
Firstpage
1171
Lastpage
1174
Abstract
The noise cancellation using an adaptive filtering technique for speech signal is experimentally studied with a TMS32020 digital signal processor. The LMS algorithm is employed in the implementation of an adaptive filter due to its simplicity and ease of computation. The TMS32020 digital signal processor is suited for the implementation since it has the capability and features to implement all of the required function with full precision. The transversal filter structure is selected due to its simplicity and ease of coding.
Keywords
Acoustic noise; Adaptive filters; Digital signal processing chips; Digital signal processors; Hardware; Instruments; Noise cancellation; Signal processing; Speech enhancement; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type
conf
DOI
10.1109/ICASSP.1987.1169804
Filename
1169804
Link To Document