2013 Fiscal Year Final Research Report
Study on spoken language understanding framework integrating knowkedges among multiple layers
| Project/Area Number |
21300066
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Perception information processing/Intelligent robotics
|
|---|
| Research Institution | Nagoya Institute of Technology |
|---|
Principal Investigator |
LEE Akinobu 名古屋工業大学, 工学(系)研究科(研究院), 准教授 (80332766)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
KOMATANI Kazunori 名古屋大学, 工学(系)研究科(研究院), 准教授 (40362579)
NANJO Hiroaki 龍谷大学, 理工学部, 助教 (50388162)
NISIMURA Ryuuichi 和歌山大学, システム工学部, 助教 (00379611)
NISHIDA Masafumi 同志社大学, 理工学部, 准教授 (80361442)
SHINOZAKI Takahiro 東京工業大学, 総合理工学研究科(研究院), 准教授 (80447903)
AKITA Yuya 京都大学, 学内共同利用施設等, 助教 (90402742)
|
|---|
| Project Period (FY) |
2009-04-01 – 2014-03-31
|
| Keywords | 音声認識 / 音声言語理解 / 音声対話 / 音声信号処理 |
|---|
| Research Abstract |
This study focuses on developing a framework that integrates handling of multiple knowledge layer from speech signal processing to spoken language understanding directly into speech recognition process in a statistical mannar. Statistical models at layers of language model, acoustic model and dialogue model are widely investigated. For integration, speech decoding based on Bayes-risk minimization in which all the constraint can be expressed as Bayes risk, and some integration methods that utilizes speech information for dialogue management and turn taking was investigated. Part of the results are publicly available as part of an open-source voice interaction building tool MMDAgent and Julius.
|
