• Title/Summary/Keyword: Fast fixed codebook search

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Transcoding Algorithm for SMV and AMR Speech Coder (SMV와 AMR 음성부호화기를 위한 상호부호화 알고리즘)

  • Lee, Duck-Jong;Jeong, Gyu-Hyeok;Lee, In-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.8
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    • pp.427-434
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    • 2008
  • In this paper, a transcoding algorithm for SMV and AMR speech coder is proposed. In the application requiring the interoperability of different networks, two speech coders must work together with the structure of cascaded connection, tandem. The tandem which is one of the simplest methods has several problems such as long delay, high complexity and the quality degradation due to twice complete encoding/decoding process. These problems can be solved by using transcoding algorithm. The proposed algorithm consists of LSP (Line Spectral Pair) conversion, pitch delay conversion, and fast fixed codebook search. The evaluation results show that the proposed algorithm achieves equivalent speech quality to that of tandem with reduced computational complexity and delay.

Fast Implementation Algorithms for EVRC (EVRC의 고속 구현 알고리듬)

  • 정성교;최용수;김남건;윤대희
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.1
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    • pp.43-49
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    • 2001
  • EVRC (Enhanced Variable Rate Codec) has been adopted as a standard coder for the CDMA digital cellular system in North America and Korea, and known to provide good call quality at 8kbps. In this paper, fast implementation algorithms for EVRC encoder are proposed. The proposed algorithms are based on both efficient pitch detection scheme and fast fixed codebook search algorithm. In the codebook search, computational complexity is reduced down to 70% of the original EVRC by limiting the number of pulse position combination and by using a truncated impulse response. The proposed algorithms enable us to implement the EVRC with much smaller computational works. Also, informal subjective tests confirmed that the difference in the speech quality between the original EVRC and the proposed method was indistinguishable.

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An Efficient Transcoding Algorithm For G.723.1 and EVRC Speech Coders (G.723.1 음성부호화기와 EVRC 음성부호화기의 상호 부호화 알고리듬)

  • 김경태;정성교;윤성완;박영철;윤대희;최용수;강태익
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5C
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    • pp.548-554
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    • 2003
  • Interoperability is ole the most important factors for a successful integration of the speech network. To accomplish communication between endpoints employing different speech coders, decoder and encoder of each endpoint coder should be placed in tandem. However, tandem coder often produces problems such as poor speech quality, high computational load, and additional transmission delay. In this paper, we propose an efficient transcoding algorithm that can provide interoperability to the networks employing ITU-T G.723.1[1]and TIA IS-127 EVRC[2]speech coders. The proposed transcoding algorithm is composed of four parts: LSP conversion, open-loop pitch conversion, fast adaptive codebook search, and fast fixed codebook search. Subjective and objective quality evaluation confirmed that the speech quality produced by the proposed transcoding algorithm was equivalent to, or better than the tandem coding, while it had shorter processing delay and less computational complexity, which is certified implementing on TMS320C62x.

Implementation of a G,723.1 Annex A Using a High Performance DSP (고성능 DSP를 이용한 G.723.1 Annex A 구현)

  • 최용수;강태익
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.7
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    • pp.648-655
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    • 2002
  • This paper describes implementation of a multi-channel G.723.1 Annex A (G.723.1A) focused on code optimization using a high performance general purpose Digital Signal Processor (DSP), To implement a multi-channel G.723.1A functional complexities of the ITU-T G.723.1A fixed-point C-code are measures an analyzed. Then we sort and optimize C functions in complexity order. In parallel with optimization, we verify the bit-exactness of the optimized code using the ITU-T test vectors. Using only internal memory, the optimized code can perform full-duplex 17 channel processing. In addition, we further increase the number of available channels per DSP into 22 using fast codebook search algorithms, referred to as bit -compatible optimization.