NDLI: A New Vocoder based on AMR 7.4kbit/s Mode in Speaker Dependent Coding System

Content Provider	IEEE Xplore Digital Library
Author	Vu Huong Byung-Jae Min Dong-Chul Park Dong-Min Woo
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Eng., Myong Ji Univ., Yongin (Vu Huong; Byung-Jae Min; Dong-Chul Park; Dong-Min Woo)
Abstract	A new code excited linear predictive (CELP) vocoder based on Adaptive Multi Rate (AMR) 7.4 kbit/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), that stores the speech data of a particular speaker. In order to enhance the compression rate of a coder, a new Line Spectral Pairs (LSP) codebook is employed by using Centroid Neural Network (CNN) algorithm. Moreover, applying the predicted pulses used in fixed code book searching enhances the quality of synthesis speech. In comparison with original (traditional) AMR 7.4 Kbit/s coder, the new coder shows a superior compression rate and an equivalent quality to AMR coder in term of informal subjective testing Mean Opinion Score(MOS).
Starting Page	163
Ending Page	167
File Size	250701
Page Count	5
File Format	PDF
ISBN	9780769532639
DOI	10.1109/SNPD.2008.110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-06
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Codecs Speech coding Vocoders Artificial neural networks Speech Prediction algorithms Encoding
Content Type	Text
Resource Type	Article

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