Title :
Mandarin Tone Recognition Based on Pre-Classification
Author :
Tang, Lin ; Yin, Junxun
Author_Institution :
Dept. of Inf. Technol., Jiangmen Polytech.
Abstract :
Mandarin tone behavior varies greatly from speaker to speaker and it is this that presents the greatest challenge to any speaker-independent tone recognition system. This paper presents a speaker normalizing algorithm which is designed to reduce this influence. In addition to this, the other tone variations are pre-classified into four categories: the neutral tone, and the isolated syllable, the disyllable and the polysyllable. The neutral tone is a special tonal sandhi, and the recognition rate of the neutral tone is poor in many current tone recognition systems. So, this paper proposes a special treatment for the neutral tone. The experimental results show that by using these new methods, an accuracy rate of 96.64% can be achieved in Mandarin tone recognition
Keywords :
natural languages; pattern classification; speech recognition; Mandarin tone recognition; disyllable; isolated syllable; neutral tone; polysyllable; speaker normalizing algorithm; speech recognition; Algorithm design and analysis; Artificial neural networks; Educational institutions; Hidden Markov models; Information technology; Natural languages; Neural networks; Speech recognition; Training data; Vector quantization; Speech recognition; Tone recognition;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713835
