(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
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|Twitter account=https://twitter.com/asru2019 | |Twitter account=https://twitter.com/asru2019 | ||
|City=Sentosa | |City=Sentosa | ||
| − | |Country= | + | |Country=Country:SG |
|has general chair=Haizhou Li, Eric Fosler-Lussier | |has general chair=Haizhou Li, Eric Fosler-Lussier | ||
|has Keynote speaker=Mark Hasegawa-Johnson, Julia Hirschberg, Tanja Schultz, Samy Bengio, DeLiang Wang | |has Keynote speaker=Mark Hasegawa-Johnson, Julia Hirschberg, Tanja Schultz, Samy Bengio, DeLiang Wang | ||
| Line 18: | Line 18: | ||
|Start Date=2019/12/14 | |Start Date=2019/12/14 | ||
|End Date=2019/12/18 | |End Date=2019/12/18 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
The ASRU Workshop is a flagship event of IEEE Speech and Language Processing Technical Committee. The workshop is held every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to discuss problems of common interest in automatic speech recognition and understanding. Topics of interest include, but not limited to, the following, | The ASRU Workshop is a flagship event of IEEE Speech and Language Processing Technical Committee. The workshop is held every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to discuss problems of common interest in automatic speech recognition and understanding. Topics of interest include, but not limited to, the following, | ||
Revision as of 13:40, 6 September 2022
The ASRU Workshop is a flagship event of IEEE Speech and Language Processing Technical Committee. The workshop is held every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to discuss problems of common interest in automatic speech recognition and understanding. Topics of interest include, but not limited to, the following,
- Automatic speech recognition
- ASR in adverse environments
- New applications of ASR
- Speech-to-speech translation
- Spoken document retrieval
- Speaker/Language recognition
- Multilingual language processing
- Spoken language understanding
- Spoken dialog systems
- Text-to-speech system
