DocumentCode :
2551955
Title :
Exploiting simultaneously masked linear prediction in a WI speech coder
Author :
Lukasiak, J. ; Burnett, I.S.
Author_Institution :
Whisper Labs., Wollongong Univ., NSW, Australia
fYear :
2000
fDate :
2000
Firstpage :
11
Lastpage :
13
Abstract :
This paper uses a method of incorporating simultaneous masking into the calculation of a linear predictive filter (SMLPC) as the front end to a 2 kbps waveform interpolation (WI) speech coder. A modification to the masking threshold calculation used in SMLPC is proposed. This modification improves the performance of SMLPC in noise like sections by placing greater emphasis on strongly voiced speech. MOS test results reveal that the modified SMLPC improved the perceptual quality of the WI coder. The improvement is significant for female speakers whilst the quality for male speech is virtually unchanged. This result conflicts with previous results reported for SMLPC where only male speech was improved. The change is attributed to the modification of the masking threshold and confirms that adapting the masking threshold according to the pitch of the speech will allow SMLPC to remove more perceptually important information from all input speech than standard LPC
Keywords :
filtering theory; interpolation; linear predictive coding; speech coding; speech intelligibility; telecommunication equipment testing; vocoders; 2 kbit/s; MOS test results; SMLPC; WI speech coder; female speakers; front end; input speech; linear predictive coding; linear predictive filter; male speech; masking threshold modification; modified SMLPC; noise; perceptual quality; simultaneously masked linear prediction; speech pitch; speech quality; voiced speech; waveform interpolation; Autocorrelation; Filtering; Frequency; Interpolation; Laboratories; Linear predictive coding; Masking threshold; Nonlinear filters; Redundancy; Speech coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech Coding, 2000. Proceedings. 2000 IEEE Workshop on
Conference_Location :
Delavan, WI
Print_ISBN :
0-7803-6416-3
Type :
conf
DOI :
10.1109/SCFT.2000.878377
Filename :
878377
Link To Document :
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