Tonal Language Speech Compression Based on a Bitrate Scalable Multi-Pulse Based Code Excited Linear Prediction Coder | Science Publications

Journal of Computer Science

Suphattharachai Chomphan¹ 

关键词: Thai speech;    Multi-Pulse based Code Excited Linear Predictive (MP-CELP);    speech compression;    bitrates scalability;    Conjugate-Structure Algebraic Code Excited Linear Predictive (CS-ACELP);    Tone (T);    bitrates scalable;    High Pitch Delay Resolutions (HPDR);    MOS scores;   

DOI  :  10.3844/jcssp.2011.154.158

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Speech compression is an important issue in the modern digital speechcommunication. The functionality of bitrates scalability also plays significant role, since the capacityof communication system varies all the time. When considering tonal speech, such as Thai, tone playsimportant role on the naturalness and the intelligibility of the speech, it must be treated appropriately.Therefore these issues are taken into account in this study. Approach: This study proposes amodification of flexible Multi-Pulse based Code Excited Linear Predictive (MP-CELP) coder withbitrates scalabilities for tonal language speech in the multimedia applications. The coder consists of acore coder and bitrates scalable tools. The high pitch delay resolutions are applied to the adaptivecodebook of core coder for tonal language speech quality improvement. The bitrates scalable toolemploys multi-stage excitation coding based on an embedded-coding approach. The multi-pulseexcitation codebook at each stage is adaptively produced depending on the selected excitation signal atthe previous stage. Results: The experimental results show that the speech quality of the proposedcoder is improved above the speech quality of the conventional coder without pitch-resolutionadaptation. Conclusion: From the study, the proposed approach is able to improve the speechcompression quality for tonal language and the functionality of bitrates scalability is also developed.

【 授权许可】

Unknown