Call For Papers

Download Call for Papers

The Fifth IEEE Workshop on Spoken Language Technology (SLT 2014) will be held in South Lake Tahoe, Nevada, on Dec 7-10, 2014. The main theme of the workshop will be "machine learning in spoken language technologies". The workshop goals include increasing both intra and inter community interaction, by means of keynote/guest speakers from the ML community, online panel discussions, miniSIGs, and highlight sessions.

Topics

Submission of papers in all areas of spoken language technology is encouraged, with emphasis on the following topics, including both traditional SLT areas as well as emerging ones:

Traditional topic coverage:

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

Emerging areas:

  • Large scale spoken language understanding
  • Massive data resources for spoken language technology
  • Unsupervised methods in spoken language technologies
  • Capturing and representing world knowledge in spoken language technologies
  • Web search with spoken language technologies
  • Spoken language technologies in social networks
  • Multimedia applications
  • Intelligent environments

Important Dates

Paper Submission: July 21, 2014

Full paper submission deadline is on July 21st 2014 midnight (11:59pm) GMT, after which updates of the pdf file will be permitted until July 28th 2014 midnight GMT but the title, author, abstract and topics cannot be changed. There will be no extension of deadlines. The conference will be conducted in English.

Notification of Acceptance: September 5, 2014

Submission Procedure

Prospective authors are invited to submit full-length, 4-6 page papers, including figures and references, to the SLT 2014 web site.