講演名 2014-06-20
Accurate phoneme segmentation method using combination of HMM and Fuzzy Inference system
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抄録(和)
抄録(英) The aim of this study, is to improve the accuracy of automatic segmentation. In the last twenty years, manual speech segmentation is always considered as the most accurate method for speech segmentation. However, this is a handwork by experts and a time-consuming work. Compared with this, automatic segmentation methods are much stable and faster. Unfortunately, achieving accurate segmentation is still a challenging task. Recently, some researches attempt to improve the accuracy of automatic segmentation by using some statistical correction procedures or learning methods on HMM-based forced-alignment. The refinement for HMM-based forced alignment in automatic speech segmentation is still not accurate enough. This paper presents an effective approach based on an adaptive neuro fuzzy inference system (ANFIS) for refining the output of the traditional HMM. Compared with other competitive methods, such as SVM, handmade fuzzy-logic and linear method, ANFIS has advantages in dealing with the problem of non-linear, fuzzy and can be trained in a completely automatic way. This study combined ANFIS instead of linear system used in the state-of-the-art research with HMM-based forced alignment to improve the automatic phoneme segmentation. The results show that ANFIS successful learn the rules of manual speech segmentation strategies and can significantly improve forced alignment accuracy. The proposed system already achieved 91.6% agreement within 20 msec for manual segmentation on the TIMIT corpus, comparing the 89.98% for the linear system used in the outstanding work.
キーワード(和)
キーワード(英) Automatic speech segmentation / Adaptive neuro fuzzy inference systems (ANFIS)
資料番号 SP2014-57,WIT2014-12
発行日

研究会情報
研究会 WIT
開催期間 2014/6/12(から1日開催)
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開催地(英)
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委員長氏名(和)
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講演論文情報詳細
申込み研究会 Well-being Information Technology(WIT)
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Accurate phoneme segmentation method using combination of HMM and Fuzzy Inference system
サブタイトル(和)
キーワード(1)(和/英) / Automatic speech segmentation
第 1 著者 氏名(和/英) / Liang DONG
第 1 著者 所属(和/英)
School of Information Science, Japan Advanced Institute of Science and Technology,
発表年月日 2014-06-20
資料番号 SP2014-57,WIT2014-12
巻番号(vol) vol.114
号番号(no) 92
ページ範囲 pp.-
ページ数 6
発行日