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http://dx.doi.org/10.7776/ASK.2009.28.3.290

Efficient TTS Database Compression Based on AMR-WB Speech Coder  

Lim, jong-Wook (세종대학교 정보통신공학과)
Kim, Ki-Chul (세종대학교 정보통신공학과)
Kim, Kyeong-Sun ((주)에이치씨아이랩)
Lee, Hang-Seop (세종대학교 정보통신공학과)
Park, Hae-Young ((주)에이치씨아이랩)
Kim, Moo-Young (세종대학교 정보통신공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.3, 2009 , pp. 290-297 More about this Journal
Abstract
This paper presents an improved adaptive multi-rate wideband (AMR-WB) algorithm for the efficient Text-To-Speech (TTS) database compression. The proposed algorithm includes unnecessary common bit-stream (CBS) removal and parameter delta coding combined with speaker-dependent huffman coding to reduce the required bit-rate without any quality degradation. We also propose lossy coding schemes to produce the maximum bit-rate reduction with negligible quality degradation. The proposed lossless algorithm including CBS removal can reduce bit-rate by 12.40% without quality degradation compared with the 12.65 kbps AMR-WB mode. The proposed lossy algorithm can reduce bit-rate by 20.00% with 0.12 PESQ degradation.
Keywords
TIS; AMR-WB; Huffman coding; Speech Coding; Information theory;
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