Use of a Self-Learning Neuro-Fuzzy System for
 Syllabic Labeling of Continuous Speech
學年 83
學期 2
發表日期 1995-03-20
作品名稱 Use of a Self-Learning Neuro-Fuzzy System for
 Syllabic Labeling of Continuous Speech
作品名稱（其他語言）
著者 Hsieh, Ching-tang; Su, Mu-chun; Chienn, Shih-chieh
作品所屬單位 淡江大學電機工程學系
出版者 N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
會議名稱 Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
會議地點 Yokohama, Japan
摘要 For reducing the requirement of large memory and minimizing computation complexity in a large-vocabulary continuous speech recognition system, speech segmentation plays an important role. In this paper, the authors formulate the speech segmentation as a two-phase problem. Phase 1 (frame labelling) involves labeling frames of speech data. Frames are classified into three types: (1) silence; (2) consonants; and (3) vowels according to two segmentation features. In phase 2 (syllabic unit segmentation) the authors apply the concept of transition states to segment continuous speech data into syllabic units based on the labeled frames. The novel class of hyperrectangular composite neural networks (HRCNs) is used to cluster frames. The HRCNNs integrate the rule-based approach and neural network paradigms, therefore, this special hybrid system may neutralize the disadvantages of each alternative. The parameters in the trained HRCNNs are utilized to extract both crisp and fuzzy classification rules. Four speakers' continuous reading-rate Mandarin speech are given to illustrate the proposed two-phase speech segmentation model. In the authors' experiments, the performance of the HRCNNs is better than the “distributed fuzzy rule” approach based on the comparisons of the number of rules and the correct recognition rate
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19950320~19950324
通訊作者
國別 JPN
公開徵稿
出版型式
出處 Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int (Volume:4 ), pp.1727-1734
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