Research of Vowel Mapping Theory for Speaker Identification of Chinese Mandarin

Abstract

This paper presents a novel framework of speaker identification based on Chinese vowel mapping theory. The base of this framework is the mapping from Chinese multi-phthong to monophthong phonemes. According to the contrast of spectrum, features, monophthong phoneme glide statistical distribution and the performance of vowel classification, we confirmed that Chinese vowels could be decomposed into several monophthong phonemes based on the short time characteristics. Then we developed a new mapping table from multi-phthong to monophthong phoneme to assist the latter research of a great deal of experiment and theory analysis. The novel framework added a special model to implement the decomposition and organized several monophthong classifiers to replace the traditional classification module, which can avoid the disturbance of semantic information and achieve higher performance. In this new framework, it adopts short time frame as the basic identify unit, which makes it more compatible to real time system. The sufficient theory analysis and experimental results showed that the presented model and algorithms based on novel framework have achieved higher accuracy, speed and enhanced the robustness in different conditions compared with many traditional methods. Especially, we succeed in separating personal identification information from semantic information based on classifying the Chinese vowel, which will be a new way to transform the text-independent system into text-dependent speaker recognition system.