Title :
Adaptive noise cancellation for speech with a TMS32020
Author_Institution :
California State University, Long Beach, CA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169804
