Difference between revisions of "SLT 2021"

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{{Event
 
{{Event
 
|Acronym=SLT 2021
 
|Acronym=SLT 2021
|Title=IEEE Spoken Language Technology Workshop
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|Title=8th IEEE Spoken Language Technology Workshop
 
|Series=SLT
 
|Series=SLT
 
|Type=Conference
 
|Type=Conference
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Together with the IEEE SPS Speech and Language Processing Technical Committee and the IEEE Signal Processing Society leadership, we will continue to follow the latest updates carefully and take proper actions. Meanwhile, we want to encourage you to continue supporting the workshop by submitting your excellent research work to the open calls and maintaining active communication. We are constantly aimed at conducting and publicizing the outstanding research we do to advance technology for humanity.  
 
Together with the IEEE SPS Speech and Language Processing Technical Committee and the IEEE Signal Processing Society leadership, we will continue to follow the latest updates carefully and take proper actions. Meanwhile, we want to encourage you to continue supporting the workshop by submitting your excellent research work to the open calls and maintaining active communication. We are constantly aimed at conducting and publicizing the outstanding research we do to advance technology for humanity.  
  
==Call for Papers==
+
'''About the conference
All papers related to spoken language technology are welcome (see topics below).
+
'''
 +
The SLT Workshop is a biennial flagship event of IEEE Speech and Language Processing Technical Committee. The 8th IEEE Spoken Language Technology Workshop (SLT 2021) will be held on January 19-22, 2021 in Shenzhen, China.
  
==Topics==
+
Deep learning has witnessed great success in spoken language technologies over the last decade. We continue welcoming research work from this area. The main theme for SLT 2021 will be around "Spoken language technologies: deep learning and beyond". Besides deep learning, we also encourage explorative efforts on new paradigms and forward-looking approaches for the advancement of spoken language technologies.
As part of our special theme, we particularly welcome the submission of papers that address challenges and limitations in current deep learning pproaches, and opportunities for overcoming them (including but not limited to hybrid approaches using deep learning and traditional knowledge-based methods).
 
  
 +
==TOPICS==
 +
* Topics of interest include, but not limited to, the following,
 
* Speech recognition and synthesis
 
* Speech recognition and synthesis
 
* Spoken language understanding
 
* Spoken language understanding
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* Assistive technologies
 
* Assistive technologies
 
* Natural language processing
 
* Natural language processing
 +
* Multimodal processing
 
* Human/computer interaction
 
* Human/computer interaction
 
* Spoken dialog systems
 
* Spoken dialog systems
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* Speaker/language recognition
 
* Speaker/language recognition
 
* Evaluation methodologies
 
* Evaluation methodologies
 +
 +
==Call for Papers==
 +
All papers related to spoken language technology are welcome.

Revision as of 15:24, 11 June 2020

SLT 2021
8th IEEE Spoken Language Technology Workshop
Event in series SLT
Dates 2021/01/19 (iCal) - 2021/01/22
Homepage: http://www.slt2020.org/
Location
Location: Shenzhen, China
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Table of Contents


SLT 2020 : IEEE Spoken Language Technology Workshop

Conference Dates Dec 13, 2020 - Dec 16, 2020 Conference Address Shenzhen, China Conference & Submission Link http://www.slt2020.org

Message regarding COVID-19 [April 5, 2020] SLT 2021 IEEE has been monitoring the developing COVID-19 pandemic (Coronavirus). The safety and well-being of all conference participants is our priority. After studying and evaluating the announcements, guidance, and news released by relevant national departments, we are sorry to announce that The 8th IEEE Spoken Language Technology Workshop (SLT) is postponed to be held on January 19-22, 2021 in Shenzhen, China. The important dates are postponed accordingly, as updated in the website.

Together with the IEEE SPS Speech and Language Processing Technical Committee and the IEEE Signal Processing Society leadership, we will continue to follow the latest updates carefully and take proper actions. Meanwhile, we want to encourage you to continue supporting the workshop by submitting your excellent research work to the open calls and maintaining active communication. We are constantly aimed at conducting and publicizing the outstanding research we do to advance technology for humanity.

About the conference The SLT Workshop is a biennial flagship event of IEEE Speech and Language Processing Technical Committee. The 8th IEEE Spoken Language Technology Workshop (SLT 2021) will be held on January 19-22, 2021 in Shenzhen, China.

Deep learning has witnessed great success in spoken language technologies over the last decade. We continue welcoming research work from this area. The main theme for SLT 2021 will be around "Spoken language technologies: deep learning and beyond". Besides deep learning, we also encourage explorative efforts on new paradigms and forward-looking approaches for the advancement of spoken language technologies.

TOPICS

  • Topics of interest include, but not limited to, the following,
  • Speech recognition and synthesis
  • Spoken language understanding
  • Spoken document retrieval
  • Question answering from speech
  • Assistive technologies
  • Natural language processing
  • Multimodal processing
  • Human/computer interaction
  • Spoken dialog systems
  • Speech data mining
  • Emotion recognition from speech
  • Spoken document summarization
  • Spoken language corpora
  • Speaker/language recognition
  • Evaluation methodologies

Call for Papers

All papers related to spoken language technology are welcome.

关于“SLT 2021”的事实
AcronymSLT 2021 +
End date2021年1月22日 (五) +
Event in seriesSLT +
Event typeConference +
Has coordinates22° 32' 40", 114° 3' 16"Latitude: 22.544575
Longitude: 114.05454166667
+
Has location cityShenzhen +
Has location countryCategory:China +
Homepagehttp://www.slt2020.org/ +
IsAEvent +
Start date2021年1月19日 (二) +
TitleIEEE Spoken Language Technology Workshop +