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	DCT_M model for the excitation parameter in low bit rate vocoders
	Dang Xiaoyan ; Tang Kun
	2010-05-06 ; 2010-05-06
关键词	Practical/ discrete cosine transforms linear predictive coding signal reconstruction speech coding speech processing transform coding variable length codes vector quantisation vocoders/ DCT_M model excitation parameter low bit rate vocoders speech reconstruction quality variable length vector 2-dimensional DCT transformation fixed length vector multistage vector quantization sine excitation linear prediction vocoder SELP/ B6130C Speech and audio coding B6140 Signal processing and detection B0230 Integral transforms C5260S Speech processing techniques C1130 Integral transforms
中文摘要	The description precision of the excitation signal greatly influences the quality of reconstructed speech in low bitrate vocoders. In order to improve the reconstruction quality, DCT_M model is proposed to express the excitation spectral parameter, which transforms the variable length vector to fixed dimension through 2-dimensional DCT transformation, and then quantize the fixed length vector using multi-stage vector quantization. Tests show that the method maintains the shape of the entire spectral envelope, reduces model errors and thus greatly improves the description precision. In the sine excitation linear prediction (SELP) vocoder, the DCT_M model improves the naturalness of the reconstructed speech, having subjective tests of 65%.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11905]
专题	清华大学
推荐引用方式 GB/T 7714	Dang Xiaoyan,Tang Kun. DCT_M model for the excitation parameter in low bit rate vocoders[J],2010, 2010.
APA	Dang Xiaoyan,&Tang Kun.(2010).DCT_M model for the excitation parameter in low bit rate vocoders..
MLA	Dang Xiaoyan,et al."DCT_M model for the excitation parameter in low bit rate vocoders".(2010).

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