Difference between revisions of "Future events"
From SynSIG
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* September 2-6, 2018: [http://interspeech2018.org/ INTERSPEECH 2018], in Hyderabad, India. | * September 2-6, 2018: [http://interspeech2018.org/ INTERSPEECH 2018], in Hyderabad, India. | ||
* September 15-19, 2019: [http://interspeech2019.org/ INTERSPEECH 2019], in Graz, Austria | * September 15-19, 2019: [http://interspeech2019.org/ INTERSPEECH 2019], in Graz, Austria | ||
− | * September 14-18, 2020: INTERSPEECH 2020, in Shanghai, China | + | * September 14-18, 2020: [http://interspeech2020.org/ INTERSPEECH 2020], in Shanghai, China |
+ | * August 30 - September 3, 2021: [http://interspeech2021.org/ INTERSPEECH 2021], in Brno, Czechia | ||
− | ==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 |
Revision as of 09:05, 6 July 2020
Interspeech
- September 2-6, 2018: INTERSPEECH 2018, in Hyderabad, India.
- September 15-19, 2019: INTERSPEECH 2019, in Graz, Austria
- September 14-18, 2020: INTERSPEECH 2020, in Shanghai, China
- August 30 - September 3, 2021: INTERSPEECH 2021, in Brno, Czechia
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
- Concatenative speech synthesis (diphones, polypohones, unit-selection)
- 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