Evoc-Learn - High quality simulation of early vocal learning

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publicationProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Pages3665-3666
Number of pages2
Volume2022-September
Publication statusPublished - 2022
Peer-reviewedYes

External IDs

Scopus 85140065822

Keywords

Keywords

  • CV coarticulation, articulatory synthesis, sensory feedback, speech perception, speech recognition