DocumentCode :
1280115
Title :
A low delay 16 kb/s speech coder
Author :
Iyengar, Vasu ; Kabal, Peter
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Volume :
39
Issue :
5
fYear :
1991
fDate :
5/1/1991 12:00:00 AM
Firstpage :
1049
Lastpage :
1057
Abstract :
A code tree generated by a stochastically populated innovations tree with a backward adaptive gain and backward adaptive synthesis filters is considered. The synthesis configuration uses a cascade of two all-pole filters: a pitch (long time delay) filter followed by a formant (short time delay) filter. Both filters are updated using backward adaptation. The formant predictor is updated using an adaptive lattice algorithm. The multipath (M, L) search algorithm is used to encode the speech. A frequency-weighted error measure is used to reduce the perceptual loudness of the quantization noise. The addition of the pitch filter gives 2-10-dB increase in segSNR (segmental signal-to-noise ratio) in the voiced segments. Subjective testing has shown that the coder attains a subjective quality equivalent to 7 b/sample log-PCM (pulse code modulation) with an encoding delay of eight samples (1 ms with an 8-kHz sampling rate)
Keywords :
adaptive filters; encoding; filtering and prediction theory; speech analysis and processing; trees (mathematics); 16 kbit/s; adaptive lattice algorithm; all-pole filters; backward adaptive gain; backward adaptive synthesis filters; code tree; formant filter; frequency-weighted error measure; low delay speech coder; multipath search algorithm; perceptual loudness; pitch filter; quantization noise; segmental signal-to-noise ratio; stochastically populated innovations tree; subjective quality; Adaptive filters; Delay effects; Frequency measurement; Lattices; Noise measurement; Noise reduction; Pulse modulation; Quantization; Speech synthesis; Technological innovation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.80962
Filename :
80962
Link To Document :
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