Future events: Difference between revisions

From SynSIG
(→‎Interspeech: cleanup + 2015, 2016 and 2017)
 
(8 intermediate revisions by 3 users not shown)
Line 1: Line 1:
==Interspeech==
== Interspeech ==
* September 7-11, 2014 : [http://www.interspeech2014.org/ INTERSPEECH 2014], in Singapore.
* August 20 - September 24, 2021: [http://interspeech2023.org/ INTERSPEECH 2023], in Dublin, Ireland
* September 6-10, 2015 : [http://interspeech2015.org/ INTERSPEECH 2015], in Dresden, Germany.
* September 8-12, 2016 : INTERSPEECH 2016, in San Francisco, CA, USA.
* August 20-24, 2017 : INTERSPEECH 2017, in Stockholm, Sweden.


==Topics in speech synthesis==
== SSW ==
* August 26-28, 2021, [http://www.ssw11.hte.hu/en SSW11], in Budapest, Hungary
 
== Topics in speech synthesis ==
(for use in calls for papers)
(for use in calls for papers)
*Text processing for speech synthesis
*Text processing for speech synthesis
Line 11: Line 11:
*Speech modeling for speech synthesis applications
*Speech modeling for speech synthesis applications
*Signal processing for speech synthesis
*Signal processing for speech synthesis
*Concatenative speech synthesis (diphones, polypohones, unit-selection)
*Articulatory synthesis  
*Articulatory synthesis  
*Statistical parametric speech synthesis
*Statistical parametric speech synthesis

Latest revision as of 16:15, 31 October 2022

Interspeech

SSW

  • August 26-28, 2021, SSW11, in Budapest, Hungary

Topics in speech synthesis

(for use in calls for papers)

  • Text processing for speech synthesis
  • Prosody Generation for speech synthesis
  • Speech modeling for speech synthesis applications
  • Signal processing for speech synthesis
  • Articulatory synthesis
  • Statistical parametric speech synthesis
  • Voice transformation/conversion/adaptation for speech synthesis
  • Expressive speech synthesis
  • Multilingual and/or Multimodal Speech Synthesis
  • Text-to-Speech and Content-to-Speech
  • Singing speech synthesis
  • Systems and Applications involving speech synthesis
  • Techniques for assessing synthetic speech quality