教師資料查詢 | 類別: 會議論文 | 教師: 謝景棠 Hsieh Ching-tang (瀏覽個人網頁)

標題:Speech Classification Based on Fuzzy Adaptive Resonance Theory
學年95
學期1
發表日期2006/10/08
作品名稱Speech Classification Based on Fuzzy Adaptive Resonance Theory
作品名稱(其他語言)
著者Hsieh, Ching-Tang; Hsu, Chih-Hsu
作品所屬單位淡江大學電機工程學系
出版者
會議名稱9th Joint Conference on Information Sciences
會議地點高雄, 臺灣
摘要This paper presents a neuro-fuzzy system to speech classification. We propose a multi-resolution feature extraction technique to deal with adaptive frame size. We utilize fuzzy adaptive resonance theory (FART) to cluster each frame. FART was an extension to ART, performs clustering of its inputs via unsupervised learning. ART describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes. In our experiments, the TIMIT database is used and extracts features of each phoneme. The performance of speech classification is 88.66%, demonstrate the effectiveness of the proposed system is encouraging.
關鍵字Speech classification;Neuro-fuzzy system;Fuzzy ART
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20061008~20061011
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處Proceedings of 9th Joint Conference on Information Sciences4頁
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