Difference between revisions of "SLT"
(Created page with "{{Event series |Acronym=SLT |Title=Spoken Language Technology Workshop |Field=Machine learning, Artificial Intelligence }} '''Spoken Language Technology Workshop (SLT)'''- IEE...") |
Tim Holzheim (talk | contribs) (Added page provenance(#264) and contribution type(#271)) |
||
| (2 intermediate revisions by one other user not shown) | |||
| Line 2: | Line 2: | ||
|Acronym=SLT | |Acronym=SLT | ||
|Title=Spoken Language Technology Workshop | |Title=Spoken Language Technology Workshop | ||
| − | |Field= | + | |Field=Natural language processing |
| + | |pageCreator=Britta.Seeberg | ||
| + | |pageEditor=Britta.Seeberg | ||
| + | |contributionType=1 | ||
}} | }} | ||
'''Spoken Language Technology Workshop (SLT)'''- IEEE Spoken Language Technology Workshop | '''Spoken Language Technology Workshop (SLT)'''- IEEE Spoken Language Technology Workshop | ||
| + | |||
| + | IEEE Signal Processing Society | ||
| + | @IEEEsps | ||
| + | IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientists and professionals since 1948. | ||
Conference Call for Papers | Conference Call for Papers | ||
All papers related to spoken language technology are welcome (see topics below). | All papers related to spoken language technology are welcome (see topics below). | ||
| − | As part of our special theme, we particularly welcome the submission of papers that address challenges and limitations in current deep learning | + | As part of our special theme, we particularly welcome the submission of papers that address challenges and limitations in current deep learning approaches, and opportunities for overcoming them (including but not limited to hybrid approaches using deep learning and traditional knowledge-based methods). |
* Speech recognition and synthesis | * Speech recognition and synthesis | ||
Latest revision as of 21:22, 1 April 2022
| SLT | |
|---|---|
Spoken Language Technology Workshop
| |
Categories: Natural language processing
| |
| Avg. acceptance rate: | 0 |
| Avg. acceptance rate (last 5 years): | 0 |
| Table of Contents | |
Spoken Language Technology Workshop (SLT) has an average acceptance rate of 0% (last 5 years 0%).
Events
There are 3 events of the series SLT known to this wiki: SLT 2016, SLT 2018, SLT 2021
Submission/Acceptance
Locations
Spoken Language Technology Workshop (SLT)- IEEE Spoken Language Technology Workshop
IEEE Signal Processing Society @IEEEsps IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientists and professionals since 1948.
Conference Call for Papers All papers related to spoken language technology are welcome (see topics below).
As part of our special theme, we particularly welcome the submission of papers that address challenges and limitations in current deep learning approaches, and opportunities for overcoming them (including but not limited to hybrid approaches using deep learning and traditional knowledge-based methods).
- Speech recognition and synthesis
- Spoken language understanding
- Spoken document retrieval
- Question answering from speech
- Assistive technologies
- Natural language processing
- Human/computer interaction
- Spoken dialog systems
- Speech data mining
- Emotion recognition from speech
- Spoken document summarization
- Spoken language corpora
- Speaker/language recognition
- Evaluation methodologies