Title :
Highly parallel architectures and algorithms for speech analysis
Author :
Siegel, Leah Jamieson
Author_Institution :
Purdue University, West Lafayette, Indiana
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172513