Presentation 2000/12/14
Continuous Speech Recognition without End-point Detection
Osamu SEGAWA, Kazuya TAKEDA, Fumitada ITAKURA,
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Abstract(in English) A new continuous speech recognition method that does not need the explicit speech end-point detection is proposed. In this method, the decoder proceeds to recognize a processing block of a predetermined length and then to fix a word section which is broken at the end of a processing block. Therefore, continuous speech recognition of infinite length can be executed without the explicit end-point detection and without considering an utterance unit. The basic algorithm is 1)decode a processing block of the predetermined length, 2) traceback and find the boundaries of the processing blocks where the word history in the preceding processing block is merged into one, and 3) restart decoding from the boundary frame with the merged word history. The effectiveness of the method is verified by the two dictating experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Continuous speech recognition / End-point detection / Search algorithm / Speech monitoring
Paper # NLC2000-44,SP2000-92
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Conference Information
Committee NLC
Conference Date 2000/12/14(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Continuous Speech Recognition without End-point Detection
Sub Title (in English)
Keyword(1) Continuous speech recognition
Keyword(2) End-point detection
Keyword(3) Search algorithm
Keyword(4) Speech monitoring
1st Author's Name Osamu SEGAWA
1st Author's Affiliation Graduate School of Engineering, Nagoya University : Chubu Electric Power Co., Inc. Electric Power R&D Center()
2nd Author's Name Kazuya TAKEDA
2nd Author's Affiliation Graduate School of Engineering, Nagoya University
3rd Author's Name Fumitada ITAKURA
3rd Author's Affiliation Center for Information Media Studies, Nagoya University
Date 2000/12/14
Paper # NLC2000-44,SP2000-92
Volume (vol) vol.100
Number (no) 520
Page pp.pp.-
#Pages 6
Date of Issue