Title :
On the use of direct vector quantization in LPC-based analysis-by-synthesis coding systems
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
Abstract :
It is shown that, within the framework of LPC (linear predictive coding)-based analysis-by-synthesis coding, the codebook search can be implemented without the filtering operation, thus alleviating the complexity problem and allowing the quantizer to be structured for fast-search quantization. In the proposed scheme, the vector quantizer bypasses the filter and direct-vector-quantization (DVQ) is used for quantizing the input vectors. It is demonstrated that this algorithm performs as well as (if not better than) the conventional analysis-by-synthesis system for short-frame (low delay) applications. Although the DVQ may be significantly less complex (depending on the type of fast-search VQ used), its signal-to-noise ratio and perceptual performance are the same as those of the conventional low-delay CELP (codebook-excited linear prediction)
Keywords :
data compression; encoding; filtering and prediction theory; speech analysis and processing; CELP; LPC-based analysis-by-synthesis coding; codebook search; codebook-excited linear prediction; direct vector quantization; fast-search quantization; input vectors; linear predictive coding; low delay; perceptual performance; short-frame applications; signal-to-noise ratio; speech coding; Algorithm design and analysis; Filtering; Linear predictive coding; Matched filters; Nonlinear filters; Signal processing algorithms; Signal synthesis; Speech coding; Speech synthesis; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150265