Call For Demos


The IEEE Workshop on Spoken Language Technology (SLT) will be held on January 19-22, 2021. All demos related to spoken language technology are welcome (see topics below). We particularly welcome submissions that are related to the theme of SLT 2021, “Spoken language technologies: deep learning and beyond”.


  • 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
  • Speech analysis and enhancement
  • Evaluation methodologies
  • Applications including but not limited to educational or healthcare domains

Important Dates (AoE)

Nov 20 Dec 6, 2020 (extended)Demo submissions due
Dec 13Demo selection notification
Jan 19-21, 2021Workshop dates

Submission Procedure

Authors may submit an up to 2-page abstract for demo presentations via email to Abstracts should briefly outline the demonstration, including application and system design. Demo applications may optionally include a single video file that exemplifies the results of the work or a link to some video hosting sites. The submitted abstracts will be reviewed by Demo chairs.

As the conference will go purely virtual, all the demos will have to be presented online, via a video conference tool in the allocated time slots during the demo session. In addition, we strongly recommend all demos are provided via one of the following formats: (1) A live demo website; or (2) A website with a downloadable installation package of the demo; unless this is impossible because some special hardware is required or access is otherwise limited. The exact details of the demo session are still to be worked out and will be announced later.

Please don't hesitate to contact Demo chairs for any additional questions.

Demo chairs: Yang Liu (Amazon, Alexa AI, USA) and Thomas Zheng (Tsinghua University, China)


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