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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745531
