Evoc-Learn - High quality simulation of early vocal learning
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
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| Title of host publication | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Pages | 3665-3666 |
| Number of pages | 2 |
| Volume | 2022-September |
| Publication status | Published - 2022 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85140065822 |
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Keywords
ASJC Scopus subject areas
Keywords
- CV coarticulation, articulatory synthesis, sensory feedback, speech perception, speech recognition