DocumentCode
2881425
Title
Analog speech recognition project
Author
Smith, Paul D. ; Hasler, Paul
Author_Institution
Georgia Institute of Technology, Department of Electrical and Computer Engineering, Atlanta, 30332, USA
Volume
4
fYear
2002
fDate
13-17 May 2002
Abstract
The Analog Speech Recognition project combines low-power analog signal processing and digital signal processing theory to provide low-power and robust speech processing systems. This project looks to bring together multiple analog signal processing (ASP) blocks into one large ASP system. These component blocks include an analog cepstrum. vector quantizer, and analog HMM. Finally. there are power dissipation comparisons made between the analog and digital systems based on the computations performed.
Keywords
Approximation methods; Cepstrum; Decoding; Digital signal processing; Hidden Markov models; Instruments; Logic gates;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5745531
Filename
5745531
Link To Document