View source for SLT 2021

{{Event
|Acronym=SLT 2021
|Title=8th IEEE Spoken Language Technology Workshop
|Series=SLT
|Type=Conference
|Start date=2021/01/19
|End date=2021/01/22
|Submission deadline=2020/08/14
|Homepage=http://www.slt2020.org/
|City=Shenzhen
|Country=China
|Paper deadline=2020/08/14
|Demo deadline=2020/11/20
|Notification=2020/10/26
|Has host organization=IEEE Signal Processing Society
}}
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.
Authors are invited to prepare a full-length, 4-6 page papers, including  
figures, plus 1-2 additional pages for references only, to the SLT 2021  
website: 2021.ieeeslt.org. 

==Important Dates==
Important Dates (AoE)
* May 22, 2020	    Challenge session submission
* May 29, 2020	    Challenge session notification
* June 12, 2020	    Special session proposal due
* July 13, 2020	    Special session notification
* August 14, 2020   Paper submission due
* Oct 26, 2020	    Paper notification
* Nov 20, 2020	    Demo submission due
* Nov 23, 2020	    Author and early registration due
* Dec 13, 2020	    Demo selection notification
* Jan 19-22, 2021   Workshop Date
Acronym	SLT 2021 +
Demo deadline	November 20, 2020 +
End date	January 22, 2021 +
Event in series	SLT +
Event type	Conference +
Has coordinates	22° 33' 20", 114° 3' 16"Latitude: 22.555452777778 Longitude: 114.05433055556 +
Has location city	Shenzhen +
Has location country	Category:China +
Homepage	http://www.slt2020.org/ +
IsA	Event +
Notification	October 26, 2020 +
Paper deadline	August 14, 2020 +
Start date	January 19, 2021 +
Submission deadline	August 14, 2020 +
Title	8th IEEE Spoken Language Technology Workshop +