Proceedings ArticleDOI
Linear transformation for low bit rate speech coding
S. Ono,T. Araseki +1 more
- Vol. 11, pp 2391-2394
TLDR
An orthogonal transform, based on an autoregressive model of short-time input speech, which is applicable to low bit rate coding, is presented and its performance is evaluated in comparison with that for conventional transforms, KLT and DCT.Abstract:
This paper discusses the possibility of an input-dependent orthogonal transform for low bit rate speech coding. An orthogonal transform, based on an autoregressive model of short-time input speech, which is applicable to low bit rate coding, is presented. Its performance is evaluated in comparison with that for conventional transforms, KLT and DCT. The experiments confirm that the input-dependent orthogonal transform improves the average distortion versus average information rate performance over that for the input-independent transform DCT.read more
Citations
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PatentDOI
Methods and apparatus for reconstructing non-quantized adaptively transformed voice signals
TL;DR: In this article, the bit allocation is based on the spectral envelope information, which is retrieved from the bit-allocation bit set and then used to scale the spectral envelopes.
Patent
Method of coding an audio signal by using an orthogonal transformation
TL;DR: In this article, a method of coding an audio signal by using an adaptive orthgonal transformation comprises a step (ST1, ST2) of calculating the sum total of a power of an input audio signal in a time duration of an orthogonal transform length or over the length.
References
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Journal ArticleDOI
Adaptive transform coding of speech signals
R. Zelinski,P. Noll +1 more
TL;DR: The main result is that this adaptive transform coder performs better than all known nonpitch-tracking coding schemes; it extends the range of speech waveform coding to lower bit rates and closes the gap between vocoders and predictive waveform coders.
Journal ArticleDOI
Predictive Coding of Speech at Low Bit Rates
TL;DR: A new class of speech coders are described which allow one to realize the precise optimum noise spectrum which is crucial to achieving very low bit rates, but also represent the important first step in bridging the gap between waveform coders and vocoders without suffering from their limitations.
Journal ArticleDOI
Frequency domain coding of speech
José Tribolet,R. Crochiere +1 more
TL;DR: In this article, the authors present a theoretical framework for the design of subband and transform coder for low bit-rate speech decoding, which is based on spectral estimation and models of speech production and perception.
Journal ArticleDOI
On the optimality of the Karhunen-Loève expansion (Corresp.)
V. Algazi,D. Sakrison +1 more
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