Automatic evaluation of speaker recognizability of coded speech

Author

Assaleh, Khaled T.

Author_Institution

Speech & Signal Process. Lab., Motorola, Scottsdale, AZ, USA

Volume

1

fYear

1996

fDate

7-10 May 1996

Firstpage

475

Abstract

This paper proposes a methodology that uses automatic speaker recognition for evaluating the speaker recognizability of processed speech. This methodology provides an efficient measure (an objective one) that is hoped to replace subjective tests which involve human listeners. Preliminary experiments have been conducted using speech processed through the following coders: LPC-10 2400 bps (FS 1015), CELP 4800 bps (FS 1016), and PSELP 2400 pbs

Keywords

linear predictive coding; speaker recognition; speech coding; speech intelligibility; 2400 bit/s; 4800 bit/s; CELP; FS 1015; FS 1016; LPC-10; PSELP; automatic evaluation; automatic speaker recognition; coded speech; experiments; objective measure; processed speech; speaker recognizability; speech processing; speech quality; Automatic speech recognition; Automatic testing; Humans; Length measurement; Signal processing; Speaker recognition; Speech analysis; Speech coding; Speech processing; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.541136

Filename

541136