Title :
Vector quantization firmware for an acoustical front-end using the TMS32020
Author :
Ciaramella, Alberto ; Venuti, Giovanni
Author_Institution :
CSELT - Centro Studi e Laboratori Telecomunicazioni, Torino, Italy
Abstract :
Here we describe the firmware implementation of an acoustical front-end, performing the vector quantization of Discrete Cosine Transform (DCT) for a speech recognition system. This firmware runs on a single TMS32020 signal processor chip and is characterized both by a substantial real time performance and by a good accuracy.
Keywords :
Buffer storage; Computer buffers; Discrete cosine transforms; Hardware; Laboratories; Microprogramming; Read-write memory; Signal processing algorithms; Speech recognition; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169338