Title :
Precise short-frame spectrum analysis LSI based on advanced maximum entropy method
Author :
Uehara, Teruaki ; Takizawa, Yumi ; Ando, Hiromi
Author_Institution :
Oki Electr. Ind. Co., Ltd., Tokyo, Japan
Abstract :
The authors have studied the conventional MEM (maximum entropy method) and developed an MEM algorithm for a precise spectrum analysis method in short-duration frames very little affected by noise. The new algorithm requires about twice as large a word length and ten times as large a processing speed as conventional spectrum analysis algorithms, so it is implemented in the form of a dedicated LSI. This LSI is a DSP-type LSI with a 32-b×16-b multiplier, a 56-b ALU, and a barrel shifter within a chip. A speaker-independent voice recognition system featuring accurate identification of phonemes can be constructed by combining this LSI with a voice-pattern-matching LSI
Keywords :
digital signal processing chips; large scale integration; spectral analysis; speech recognition; ALU; DSP-type LSI; advanced maximum entropy method; barrel shifter; dedicated LSI; multiplier; phonemes; precise spectrum analysis method; processing speed; short-duration frames; speaker-independent voice recognition system; voice-pattern-matching LSI; word length; Acoustic noise; Algorithm design and analysis; Entropy; Frequency; Large scale integration; Pattern matching; Pattern recognition; Roundoff errors; Speech analysis; Speech recognition;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100590
