Variable-dimension quantization of sinusoidal amplitudes using Gaussian mixture models

被引：0

作者：

Lindblom, J ^{[1
]}

Hedelin, P ^{[1
]}

机构：

[1] Chalmers Univ Technol, Sch Elect Engn, SE-41296 Gothenburg, Sweden

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING | 2004年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, Gaussian mixture (GM) models are used to design variable-dimension quantizers according to a weighted distortion criterion. A general method for combining a variable-to-fixed dimension transform, with GM modeling and quantization, is proposed. The method provides a convenient and efficient way to encode the amplitudes in a sinusoidal speech coder. Quantizers designed according to the proposed scheme are evaluated both according to weighted distortion criteria, and with respect to a high-rate bound approximation of the distortion. Informal listening tests suggest that the amplitudes can be encoded without subjective loss in a wideband, harmonic coder, at a rate around 40 bits per frame (for the amplitudes only).

引用

页码：153 / 156

页数：4

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