Technical Program

Paper Detail

Paper:SP-L7.1
Session:Quantization Techniques in Speech Coding
Time:Thursday, May 20, 15:30 - 15:50
Presentation: Lecture
Topic: Speech Processing: Speech Coding
Title: LOW-COMPLEXITY PREDICTIVE TRELLIS CODED QUANTIZATION OF WIDEBAND SPEECH LSF PARAMETERS
Authors: Yongwon Shin; Samsung Electronics Co. Ltd. 
 Sangwon Kang; Hanyang University 
 Thomas R. Fischer; Washington State University 
 Changyong Son; Samsung Advanced Institute of Technology 
 Yongbeom Lee; Samsung Advanced Institute of Technology 
Abstract: In this paper, low-complexity block-constrained trellis coded quantization (BC-TCQ) structures are introduced, and a predictive BC-TCQ encoding method is developed for quantization of line spectrum frequencies(LSF) parameters for wideband speech coding applications. The performance is compared to the linear predictive coding(LPC) vector quantizers used in the AMR-WB (ITU-G.722.2) speech coding standard, demonstrating reduction in spectral distortion and significant reduction in encoding complexity.
 
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