DocumentCode
1389036
Title
Fractional rate multitree speech coding
Author
Gibson, Jerry D. ; Chang, Wen-Whei
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
39
Issue
6
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
963
Lastpage
974
Abstract
The authors present both forward and backward adaptive speech coders that operate at 9.6, 12, and 16 kb/s using integer and fractional rate trees, weighted squared error distortion measures, the (M , L ) tree search algorithm, and incremental path map symbol release. They introduce the concept of multitree source codes and illustrate how the multitree structure allows scalar quantizer-based codes and scalar adaptation rules to be used for fractional rate tree coding. With a frequency weighted distortion measure, the forward and backward adaptive multitree coders produce near toll quality speech at 16 kb/s, while the backward adaptive 9.6 kb/s multitree coder substantially outperforms adaptive predictive coding and has an encoding delay of less than 2 ms. Performance results are present in terms of unweighted and weighted signal-to-noise ratio and segmental signal-to-noise ratio, sound spectrograms, and subjective listening tests
Keywords
encoding; speech analysis and processing; trees (mathematics); 12 kbit/s; 16 kbit/s; 9.6 kbit/s; SNR; backward adaptive multitree coders; backward adaptive speech coders; encoding delay; forward adaptive multitree coder; forward adaptive speech coders; fractional rate multitree; fractional rate tree coding; frequency weighted distortion measure; incremental path map symbol release; integer rate trees; multitree source codes; scalar adaptation rules; scalar quantizer-based codes; segmental signal-to-noise ratio; sound spectrograms; speech coding; subjective listening tests; toll quality speech; tree search algorithm; unweighted signal to noise ratio; weighted signal-to-noise ratio; weighted squared error distortion measures; Acoustic testing; Delay; Distortion measurement; Encoding; Frequency measurement; Predictive coding; Signal to noise ratio; Spectrogram; Speech coding; Weight measurement;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.87186
Filename
87186
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