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作者:

Bao, Changchun (Bao, Changchun.) (学者:鲍长春) | Xu, Hao (Xu, Hao.) | Xia, Bingyin (Xia, Bingyin.) | Liu, Zhangyu (Liu, Zhangyu.) | Qiu, Jianwei (Qiu, Jianwei.)

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EI Scopus SCIE

摘要:

In this paper, an efficient transcoding algorithm between AMR-NB and G.729ab is proposed. The proposed algorithm further elaborates on solutions when a DTX function is adopted between the source and destination coding systems. When neither, either or both of the source and destination coding systems adopt the DTX function, the proposed algorithm can carry out the transcoding operation between the two coding systems efficiently. When neither of the two coding systems adopts the DTX function, transcoding methods in different domains are proposed. A scalable distortion measure method based on parameter domain, specifically related to codebook gain conversion, is proposed to keep the amplitude of synthesized speech. The effect on subjective speech quality due to the amplitude of synthesized speech is cancelled out by using the proposed method and the computational complexity is reduced as well. When either or both of the two coding systems adopt the DTX function, depending on the type of the destination frame, transcoding methods between speech frames and non-speech frames are proposed. When the frame is declared as an erased frame, a linear prediction-based pitch recovery and transcoding method is used in this paper. By employing the proposed algorithm in transcoders, complexity is reduced by about 26-82% and quality is also improved compared to the conventional DTE method. (C) 2010 Elsevier B.V. All rights reserved.

关键词:

AMR-NB CELP G.729ab Speech coding Speech transcoding

作者机构:

  • [ 1 ] [Bao, Changchun]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 2 ] [Xu, Hao]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 3 ] [Xia, Bingyin]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Zhangyu]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 5 ] [Qiu, Jianwei]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China

通讯作者信息:

  • 鲍长春

    [Bao, Changchun]Beijing Univ Technol, Sch Elect Informat & Control Engn, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China

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来源 :

SPEECH COMMUNICATION

ISSN: 0167-6393

年份: 2010

期: 9

卷: 52

页码: 710-724

3 . 2 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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