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http://dx.doi.org/10.6109/JKIICE.2009.13.2.413

Speech Signal Compression and Recovery Using Transition Detection and Approximate-Synthesis  

Lee, Kwang-Seok (진주산업대학교 전자공학과)
Lee, Byeong-Ro (진주산업대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.2, 2009 , pp. 413-418 More about this Journal
Abstract
In a speech coding system using excitation source of voiced and unvoiced, it would be involved a distortion of speech qualify in case coexist with a voiced and an unvoiced consonants in a frame. So, We proposed TS(Transition Segment) including unvoiced consonant searching and extraction method in order to uncoexistent with a voiced and unvoiced consonants in a frame. This research present a new method of TS approximate-synthesis by using Least Mean Square and frequency band division. As a result, this method obtain a high qualify approximation-synthesis waveforms within TS by using frequency information of 0.547kHz below and 2.813kHz above. The important thing is that the maximum error signal can be made with low distortion approximation-synthesis waveform within TS. This method has the capability of being applied to a new speech coding of Voiced/Silence/TS, speech analysis and speech synthesis.
Keywords
Speech Compression and Recovery; Transition Detection in Speech Signal; Approximate-Synthesis Method;
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