DocumentCode :
3073042
Title :
Highly parallel architectures and algorithms for speech analysis
Author :
Siegel, Leah Jamieson
Author_Institution :
Purdue University, West Lafayette, Indiana
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
331
Lastpage :
334
Abstract :
Highly parallel computer architectures and algorithms for speech analysis operations are surveyed. The classes of architectures considered include SIMD, skewed-SIMD, MIMD, and data flow machines, associative processors, and pipelined systolic and wavefront arrays. Parallel algorithms for digital filtering, FFTs, and linear predictive coding are summarized. System requirements are analyzed in terms of number and complexity of processors, memory requirements, and nature and complexity of inter-processor communications.
Keywords :
Algorithm design and analysis; Computer architecture; Filtering; Parallel algorithms; Parallel architectures; Parallel processing; Signal processing algorithms; Speech analysis; Speech processing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172513
Filename :
1172513
Link To Document :
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