Presentation 1999/12/20
SomeProblemsonAutomaticSpeechRecognition
seiichi Nakagawa,
PDF Download Page PDF download Page Link
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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NLC99-25
Date of Issue

Conference Information
Committee NLC
Conference Date 1999/12/20(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

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) SomeProblemsonAutomaticSpeechRecognition
Sub Title (in English)
Keyword(1)
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
Date of Issue