Fine-Granular Scalable MELP Coder Based on Embedded Vector Quantization

被引：0
|
作者：
Djamah, Mouloud [1 ]
O'Shaughnessy, Douglas [1 ]
机构：
[1] INRS EMT, Montreal, PQ H5A 1K6, Canada
来源：
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年
关键词：
Speech coding; MELP coder; tree-structured vector quantization; embedded quantization; scalability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an efficient codebook design for tree-structured vector quantization (TSVQ), which is embedded in nature. The federal standard MELP (mixed excitation linear prediction) speech coder is modified by replacing the original single stage vector quantizer for Fourier magnitudes with a TSVQ and the original multistage vector quantizer (MSVQ) for line spectral frequencies (LSF's) with a multistage TSVQ (MTVQ). The modified coder is fine-granular bit-rate scalable with gradual change in quality for the synthetic speech when the number of bits available for LSF and Fourier magnitudes decoding is decremented bit-by-bit.
引用
收藏
页码：2567 / 2570
页数：4
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