Combining Multiple Classifiers in a Hybrid System for High Performance Chinese Syllable Recognition

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概要

• 論文の詳細を見る

• A multiple classifier system can be a powerful solution for robust pattern recognition. It is expected that the appropriate combination of multiple classifiers may reduce errors, provide robustness, and achieve higher performance. In this paper, high performance Chinese syllable recognition is presented using combinations of multiple classifiers. Chinese syllable recognition is divided into base syllable recognition (disregarding the tones) and recognition of 4 tones. For base syllable recognition, we used a combination of two multisegment vector quantization (MSVQ) classifiers based on different features (instantaneous and transitional features of speech). For tone recognition, vector quantization (VQ) classifier was first used, and was comparable to multilayer perceptron (MLP) classifier. To get robust or better performance, a combination of distortion-based classifier (VQ) and discriminant; based classifier (MLP) is proposed. The evaluations have been carried out using standard syllable database CRDB in China, and experimental results have shown that combination of multiple classifiers with different features or different methodologies can improve recognition performance. Recognition accuracy for base syllable, tone, and tonal syllable is 96.79%, 99.82% and 96.24% respectively. Since these results were evaluated on a standard database, they can be used as a benchmark that allows direct comparison against other approaches.

• 社団法人電子情報通信学会の論文
• 1996-11-25

著者

• Zhou L

  Precision And Intelligence Laboratory Tokyo Institute Of Technology

• Zhou Liang

  Precision And Intelligence Labolatory Tokyo Institute Of Technology

• Imai Satoshi

  Precision And Intelligence Labolatory Tokyo Institute Of Technology

関連論文

• Multisegment Multiple VQ Codebooks-Based Speaker Independent Isolated-Word Recognition Using Unbiased Mel Cepstrum
• Generalized Cepstral Modeling of Degraded Speech and Its Application to Speech Enhancement (Special Section of Papers Selected from the 7th Digital Signal Processing Symymposium
• Combining Multiple Classifiers in a Hybrid System for High Performance Chinese Syllable Recognition
• Harmonics Estimation Based on Instantaneous Frequency and Its Application to Pitch Determination of Speech
• A New Approach of Parsing and Search Based on the Divide and Conquer Strategy for Continuous Speech Recognition

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