Integration of speaker and speech recognition systems

Author

Reynolds, D.A. ; Heck, L.P.

Author_Institution

Dept. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

869

Abstract

A combination of a high-performance speaker identification system and an isolated word recognizer is presented. The front-end text-independent speaker identification system determines the most likely speaker for an input word. The speaker identity is then used to choose the reference word models for the speech recognizer. When used with a closed set of speakers, the combination is capable of automatically producing speech and speaker identification. For an open set of speakers, the speaker recognition system acts as speaker quantizer which associates the unknown speaker with an acoustically similar speaker. The matching speaker´s word models are used in the speech recognizer. The application of this front-end speaker recognizer is described for a DTW and HMM speech recognizer. Results on a combination using a DTW word recognizer are 100% for closed set experiments

Keywords

Markov processes; speech recognition; DTW; HMM; closed set experiments; front and text independent system; input word; isolated word recognizer; reference word models; speaker identification system; speaker identity; speaker quantizer; speaker recognition system; speech recognition; speech recognition systems; speech recognizer; Acoustic noise; Automatic speech recognition; Data mining; Hidden Markov models; Isolation technology; Loudspeakers; Speaker recognition; Speech enhancement; Speech recognition; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150476

Filename

150476