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Problem statement: Speech compression is an important issue in the modern digital speech&#13; communication. The functionality of bitrates scalability also plays significant role, since the capacity&#13; of communication system varies all the time. When considering tonal speech, such as Thai, tone plays&#13; important role on the naturalness and the intelligibility of the speech, it must be treated appropriately.&#13; Therefore these issues are taken into account in this study. Approach: This study proposes a&#13; modification of flexible Multi-Pulse based Code Excited Linear Predictive (MP-CELP) coder with&#13; bitrates scalabilities for tonal language speech in the multimedia applications. The coder consists of a&#13; core coder and bitrates scalable tools. The high pitch delay resolutions are applied to the adaptive&#13; codebook of core coder for tonal language speech quality improvement. The bitrates scalable tool&#13; employs multi-stage excitation coding based on an embedded-coding approach. The multi-pulse&#13; excitation codebook at each stage is adaptively produced depending on the selected excitation signal at&#13; the previous stage. Results: The experimental results show that the speech quality of the proposed&#13; coder is improved above the speech quality of the conventional coder without pitch-resolution&#13; adaptation. Conclusion: From the study, the proposed approach is able to improve the speech&#13; compression quality for tonal language and the functionality of bitrates scalability is also developed

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