The Sixth IEEE Workshop on Spoken Language Technology (SLT) will be held from December 13–16, 2016 in San Diego, California. The theme for this year will be “machine learning from signal to concepts”. The workshop is expected to provide researchers around the world the opportunity to interact and present their newest and most advanced research in the fields of speech and language processing. The program for SLT 2016 will be include oral and posters sessions, keynotes, plus invited speakers in the field of spoken language as well as tutorials and multiple special sessions.


Submission of papers is desired on a large variety of areas of spoken language technology, with emphasis on the following topics on previous workshops:

  • Speech recognition and synthesis
  • Spoken language understanding
  • Spoken document retrieval
  • Question answering from speech
  • Assistive technologies
  • Natural language processing
  • Educational and healthcare applications
  • Human/computer interaction
  • Spoken dialog systems
  • Speech data mining
  • Spoken document summarization
  • Spoken language databases
  • Speaker/language recognition
  • Multimodal processing


The venue for SLT 2016 will be confirmed soon.

Important Dates

Paper SubmissionJuly 22, 2016
Notifications:September 14, 2016 September 16, 2016
Demo submission:October 10, 2016
Demo notification:October 17, 2016
Special Session proposals:June 8, 2016
Special Session notification:June 17, 2016
Author Registration Deadline:October 17, 2016
Early-rate Registration Deadline:November 1, 2016
Workshop:December 13-16, 2016

Submission Details

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 2016 website:


The deadline for submitting papers is Friday, 22 July 2016 at 23h59 (EST). After this date, no new submissions will be accepted. However, authors may make minor revisions to submitted papers until Monday, 25 July 2016 at 23h59 (EST), as long as the title and author list remain unchanged. If the paper title and/or author list on an uploaded PDF file does not match the title and/or author list entered through the submission website, SLT 2016 reserves the right to reject the submission prior to peer review.