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