NDLI: A Novel Detection Method of Filled Pause in Mandarin Spontaneous Speech

Content Provider	IEEE Xplore Digital Library
Author	Yan-Xiong Li Qian-Hua He Tao Li
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou (Yan-Xiong Li; Qian-Hua He; Tao Li)
Abstract	Filled pause is one of the hesitation phenomena that current speech recognizers can not effectively handle. Detecting filled pauses is important in spontaneous speech dialogue systems because they play valuable roles, such as helping a speaker keep a conversational turn, in oral communication. In this paper, a novel detection method for filled pause is proposed based on a strategy of two-level decisions. Firstly, hypothetical filled pauses are extracted from non-silence signal segments. Then HMMs are trained and employed to recognize filled pauses from hypothetical filled pauses. Experiment results show that the average precision and recall rate of filled pauses are 80.66% and 92.59% respectively. Moreover, this filled pause detector can distinguish filled pauses from elongated words, which are not achieved in the previous works.
Starting Page	217
Ending Page	222
File Size	320024
Page Count	6
File Format	PDF
ISBN	9780769531311
DOI	10.1109/ICIS.2008.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Automatic speech recognition Detectors Speech processing Acoustic noise Background noise Noise generators Information science Helium Oral communication non-speech events spontaneous speech recognition filled pause detection
Content Type	Text
Resource Type	Article

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