DocumentCode :
1245790
Title :
Voiced speech coding at very low bit rates based on forward-backward waveform prediction
Author :
Yang, Gao ; Leich, Henri ; Boite, Red
Author_Institution :
Lernout & Hanspie Speech Products N.V., Belgium
Volume :
3
Issue :
1
fYear :
1995
fDate :
1/1/1995 12:00:00 AM
Firstpage :
40
Lastpage :
47
Abstract :
Techniques for coding voiced speech at very low bit rates are investigated and a new algorithm, designed to produce high quality speech with low complexity, is proposed. This algorithm encodes and transmits partial representative waveforms (RWs) from which the complete speech waveforms are reconstructed by using a method called forward-backward waveform prediction (FBWP). The RW is encoded at 20-30 ms intervals with a low complexity approach, taking into account the special initial conditions of short- and long-term filters. The basic idea of FBWP is essentially consistent with that of the prototype waveform interpolation (PWI) algorithm, which was reported to be capable of producing high-quality voiced speech at a bit rate of between 3.0 and 4.0 kb/s. By implementing the FBWP in the time domain, fast computation is thereby made possible while high-quality speech can be obtained at bit rate of about 3 kb/s. As in the PWI method, the proposed algorithm may be combined with an LP-based speech coder which uses a noise-like excitation to reproduce unvoiced speech
Keywords :
filtering theory; linear predictive coding; speech coding; speech intelligibility; vocoders; waveform analysis; 3 to 4 kbit/s; LP-based speech coder; PWI method; algorithm; forward-backward waveform prediction; high quality speech; initial conditions; long-term filters; low complexity; noise-like excitation; prototype waveform interpolation; representative waveforms; short-term filters; speech waveforms; time domain; unvoiced speech; very low bit rates; voiced speech coding; Algorithm design and analysis; Bit rate; Distortion; Filters; Helium; Quantization; Reverberation; Signal generators; Speech coding; Vocoders;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/89.365382
Filename :
365382
Link To Document :
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