Abstract | ||
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The major obstacle which has limited the use of Vector Quantization (VQ) for real-time speech coding is the computationally demanding codebook-search algorithm. The essential task of this algorithm, pattern matching, has several properties which make it amenable to VLSI realization using a highly concurrent processor architecture. A VLSI pattern-matching chip provides the essential building-block for a specialpurpose codebook-search processor (CSP). The CSP can serve as a generic architecture for a variety of VQ-based speech coding applications. This paper reports on a working VQ processor for speech coding based on a first generation VLSI chip that efficiently performs the essential pattern-matching operation needed for the codebook-search process. Furthermore, the CSP architecture, using this chip, has been successfully incorporated into a compact single-board Vector PCM implementation which operates at rates between 7 and 18 kbits/s. A real-time Adaptive Vector Predictive Coder system using the CSP and augmented by a TMS-32010 programmable signal processor has been designed and recently implemented. We describe the structure of these two VQ coders and present experimental results obtained using the single-board Vector PCM coder. |
Year | DOI | Venue |
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1986 | 10.1109/JSAC.1986.1146287 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
quantization,speech coding,vlsi,very large-scale integration (vlsi) | Speech coding,Digital signal processor,Computer science,Real-time computing,Chip,Coding (social sciences),Speech recognition,Vector quantization,Quantization (signal processing),Computer hardware,Very-large-scale integration,Microarchitecture | Journal |
Volume | Issue | ISSN |
4 | 1 | 0733-8716 |
Citations | PageRank | References |
10 | 2.45 | 7 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Davidson, G. | 1 | 10 | 2.45 |
Allen Gersho | 2 | 2031 | 624.48 |