Evoc-Learn - High quality simulation of early vocal learning

Yi Xu; Anqi Xu; Daniel R. van Niekerk; Branislav Gerazov; Peter Birkholz; Paul Konstantin Krug; Santitham Prom-On; Lorna F. Halliday

Evoc-Learn - High quality simulation of early vocal learning

Yi Xu
, Anqi Xu
, Daniel R. van Niekerk
, Branislav Gerazov
, Peter Birkholz
, Paul Konstantin Krug
, Santitham Prom-On
, Lorna F. Halliday

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	3665-3666
Number of pages	2
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	2022-September
State	Published - 2022
Externally published	Yes
Event	23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 - Incheon, Korea, Republic of Duration: 18 Sep 2022 → 22 Sep 2022

Keywords

CV coarticulation
articulatory synthesis
sensory feedback
speech perception
speech recognition

Cite this

@article{758268f491294dc6bc560cf5352d1663,

title = "Evoc-Learn - High quality simulation of early vocal learning",

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.",

keywords = "CV coarticulation, articulatory synthesis, sensory feedback, speech perception, speech recognition",

author = "Yi Xu and Anqi Xu and \{van Niekerk\}, \{Daniel R.\} and Branislav Gerazov and Peter Birkholz and Krug, \{Paul Konstantin\} and Santitham Prom-On and Halliday, \{Lorna F.\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2022 ISCA.; 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 ; Conference date: 18-09-2022 Through 22-09-2022",

year = "2022",

language = "英语",

volume = "2022-September",

pages = "3665--3666",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

publisher = "International Speech Communication Association",

}

TY - JOUR

T1 - Evoc-Learn - High quality simulation of early vocal learning

AU - Xu, Yi

AU - Xu, Anqi

AU - van Niekerk, Daniel R.

AU - Gerazov, Branislav

AU - Birkholz, Peter

AU - Krug, Paul Konstantin

AU - Prom-On, Santitham

AU - Halliday, Lorna F.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - CV coarticulation

KW - articulatory synthesis

KW - sensory feedback

KW - speech perception

KW - speech recognition

UR - https://www.scopus.com/pages/publications/85140065822

M3 - 会议文章

AN - SCOPUS:85140065822

SN - 2308-457X

VL - 2022-September

SP - 3665

EP - 3666

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

T2 - 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022

Y2 - 18 September 2022 through 22 September 2022

ER -

Evoc-Learn - High quality simulation of early vocal learning

Abstract

Keywords

Other files and links

Fingerprint

Cite this