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A New Vocoder based on AMR 7.4Kbit/s Mode for Speaker Dependent System  

Min, Byung-Jae (㈜ SFA Engineering)
Park, Dong-Chul (명지대학교 정보공학과 지능컴퓨팅 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.9C, 2008 , pp. 691-696 More about this Journal
Abstract
A new vocoder of Code Excited Linear Predictive (CELP) based on Adaptive Multi Rate (AMR) 7.4kbit/s mode is proposed in this paper. The proposed vocoder achieves a better compression rate in an environment of Speaker Dependent Coding System (SDSC) and is efficiently used for systems, such as OGM(Outgoing message) and TTS(Text To Speech), which needs only one person's speech. In order to enhance the compression rate of a coder, a new Line Spectral Pairs(LSP) code-book is employed by using Centroid Neural Network (CNN) algorithm. In comparison with original(traditional) AMR 7.4 Kbit/s coder, the new coder shows 27% higher compression rate while preserving synthesized speech quality in terms of Mean Opinion Score(MOS).
Keywords
Linear Predictive Coding; Centroid Neural Network; Adaptive Multi Rate;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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