Evoc-Learn - High quality simulation of early vocal learning
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Evoc-Learn is a system for simulating early vocal learning of spoken language in ways that can overcome some of the major bottlenecks in vocal learning. The system consists of VocalTractLab, a geometrical three-dimensional vocal tract model for simulating aeroacoustics and articulatory dynamics, a coarticulation model for controlling the temporal dynamics of articulation, and a sensory feedback system for guiding the learning process. We will demonstrate each component of Evoc-Learn and show how they work together to simulate the learning of highly intelligible speech.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Seiten | 3665-3666 |
| Seitenumfang | 2 |
| Band | 2022-September |
| Publikationsstatus | Veröffentlicht - 2022 |
| Peer-Review-Status | Ja |
Externe IDs
| Scopus | 85140065822 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- CV coarticulation, articulatory synthesis, sensory feedback, speech perception, speech recognition