Evoc-Learn - High quality simulation of early vocal learning

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
TitelProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Seiten3665-3666
Seitenumfang2
Band2022-September
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Externe IDs

Scopus 85140065822

Schlagworte

Schlagwörter

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