“News-20160517”版本间的差异
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==Introduction== | ==Introduction== | ||
| − | Oriental languages involve some common properties as well as sufficient diversity in acoustic, phonetic, lexical and linguistic aspects, leading to interesting questions such as which languages share more and which languages are more discriminant, and how the commonality and diversity can be used to assist speech processing research. This special session focuses on multilingual speech processing for oriental languages, including but not limited to phonetic/phonological comparative study, multilingual speech recognition, multilingual speech synthesis. To support the research, this special session will release an oriental multilingual speech database | + | Oriental languages involve some common properties as well as sufficient diversity in acoustic, phonetic, lexical and linguistic aspects, leading to interesting questions such as which languages share more and which languages are more discriminant, and how the commonality and diversity can be used to assist speech processing research. This special session focuses on multilingual speech processing for oriental languages, including but not limited to phonetic/phonological comparative study, multilingual speech recognition, multilingual speech synthesis. To support the research, this special session will release an oriental multilingual speech database AP16-OL7 (provided by Speechocean) which involves 7 oriental languages. Based on this database (free for session participants), we call for an oriental language recognition (OLR) challenge. |
==Target track== | ==Target track== | ||
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* Multilingual speech recognition | * Multilingual speech recognition | ||
* Multilingual speech synthesis | * Multilingual speech synthesis | ||
| + | * Multilingual speaker recognition | ||
* Multilingual language understanding | * Multilingual language understanding | ||
==OLR Challenge== | ==OLR Challenge== | ||
| − | The | + | The AP16-OL7 database involves 7 oriental languages. This special session calls for an OLR challenge which discriminates the 7 languages of AP16-OL7. The data '''will be free to institutes''' who (1) participate the OLR challenge; (2) do not participate OLR but participate this special session, and require data to evaluate their research. |
2016年6月8日 (三) 07:49的最后版本
目录
Oriental Multilingual Speech Processing and Oriental Language Recognition (OLR) Challenge
- Organizers: Dong Wang (Tsinghua Univ.), Qing Chen (Speechocean)
- Email: wangdong99@mails.tsinghua.edu.cn; chenqing@speechocean.com
Introduction
Oriental languages involve some common properties as well as sufficient diversity in acoustic, phonetic, lexical and linguistic aspects, leading to interesting questions such as which languages share more and which languages are more discriminant, and how the commonality and diversity can be used to assist speech processing research. This special session focuses on multilingual speech processing for oriental languages, including but not limited to phonetic/phonological comparative study, multilingual speech recognition, multilingual speech synthesis. To support the research, this special session will release an oriental multilingual speech database AP16-OL7 (provided by Speechocean) which involves 7 oriental languages. Based on this database (free for session participants), we call for an oriental language recognition (OLR) challenge.
Target track
Speech and language processing
Scope
This special session is expected to attract papers on recent research progress in the area of multilingual speech processing. The targeted research topics are, but not limited to, the following:
- Multilingual phonetic and phonological analysis
- Multilingual speech recognition
- Multilingual speech synthesis
- Multilingual speaker recognition
- Multilingual language understanding
OLR Challenge
The AP16-OL7 database involves 7 oriental languages. This special session calls for an OLR challenge which discriminates the 7 languages of AP16-OL7. The data will be free to institutes who (1) participate the OLR challenge; (2) do not participate OLR but participate this special session, and require data to evaluate their research.
