Presentation | 1999/12/20 SomeProblemsonAutomaticSpeechRecognition seiichi Nakagawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we discuss some problems on automatic speech recognition. First,we state that the current art of speech recognition technology is inferior to the ability of human beings, especially, on phoneme recognition(perception)performance. Therefore, we point out the importance of acoustic models. Next, we describe a blance a between an acoustic model and a language model from a viewpoint of information theory. Finally, we focus on research trends on statistics-based language model and we describe the limits and future works. |
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Paper # | NLC99-25 |
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Committee | NLC |
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Conference Date | 1999/12/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | SomeProblemsonAutomaticSpeechRecognition |
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1st Author's Name | seiichi Nakagawa |
1st Author's Affiliation | Department of Infomation and Computer Sciences,Toyohashi University of Technology() |
Date | 1999/12/20 |
Paper # | NLC99-25 |
Volume (vol) | vol.99 |
Number (no) | 523 |
Page | pp.pp.- |
#Pages | 6 |
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