DocumentCode
3241523
Title
Systolic devices for speech processing
Author
Beresford-Smith, B. ; Breckling, J. ; Schröder, H.
Author_Institution
Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia
fYear
1989
fDate
8-12 May 1989
Firstpage
32174
Lastpage
32905
Abstract
A frequently used method of representing words in the area of speech recognition is as a sequence of LPC (linear prediction coefficient) vectors, which are real-valued 12- to 16-dimensional vectors each representing a time slice of the speech signal. It can be associated with particular phonems (or transitions between phonems). One method of transferring speech in a real-time environment is through the use of codebooks; i.e. a set of representatives of LPC vectors. The method proposed is based on the following idea: a sequence of N LPC vectors is produced out of a few minutes of speech. Then a distance matrix is calculated using any suitable distance function such as the Itakura distance. Then this distance matrix can be analyzed by repeatedly looking for rows with a maximal number of small-valued entries. These rows refer to clusters in the LPC vector space and thus can be assumed to be good representatives to be used as members of the codebook
Keywords
cellular arrays; speech analysis and processing; speech recognition; Itakura distance; clusters; codebooks; distance matrix; linear prediction coefficient vectors; real-time environment; speech processing; speech recognition; systolic devices; Australia; Clustering algorithms; Computer science; Hardware; Hidden Markov models; Laboratories; Speech analysis; Speech processing; Speech recognition; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
CompEuro '89., 'VLSI and Computer Peripherals. VLSI and Microelectronic Applications in Intelligent Peripherals and their Interconnection Networks', Proceedings.
Conference_Location
Hamburg
Print_ISBN
0-8186-1940-6
Type
conf
DOI
10.1109/CMPEUR.1989.93379
Filename
93379
Link To Document