An auscultatory technique of Chinese medicine: Pattern recognition based on timbre of human-voice matching with standardized patterns of sound from Bianzhong of Marquis Yi of Zeng (***)

摘要

In order to find a sensitive and stable auscultatory method, recognition algorithm for human-voice matching with 25 patterns for 25Yin, a pattern library with 25 sounds as standard patterns was established in this manuscript. Furthermore, Mel Frequency Cepstrum Coefficient (MFCC) was applied to analyse for sampled sound and then the algorithm of Support Vector Machine (SVM) was used to match the sampled sound, which had been dipt the baseline signal and the signal at the part of consonants in each single pronunciation during voice sampling, with every sound in the pattern library. A table had been listed with 25 nomenclature for 25 Yin described in HDNJ and related to the code-named (CN) of the wave sound from BMYZ. The recognition algorithm based on MFCC plus SVMto match human-voice and the pattern library with 25 sounds offered a well-accuracy well-precision and potential technique to recognize different individuals according to the classic theory.