Paper Info
Title
Automatic evaluation of speaker recognizability of coded speech
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.
Year
DOI
Venue
1996
10.1109/ICASSP.1996.541136
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference
Keywords
Field
DocType
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
Speech processing,Speech coding,Code-excited linear prediction,Computer science,Speech recognition,FS-1015,Speaker recognition,Speaker diarisation,Linear predictive coding,Intelligibility (communication)
Conference
Volume
ISSN
ISBN
1
1520-6149
0-7803-3192-3
Citations 
PageRank 
References 
0
0.34
3
Authors
1
Name
Order
Citations
PageRank
Khaled T. Assaleh112813.72