Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition

Florian Müller; Alfred Mertins

Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition

Institut für Signalverarbeitung

Abstract

Vocal tract length normalization (VTLN) is commonly applied utterance-wise with a warping function that makes the assumption of a linear dependence between the vocal tract length and the location of the formants. In this work we propose a datadriven method for enhancing the performance of systems that already use standard VTLN. The method is based on elastic registration to estimate optimal non-parametric transformations to further reduce inter-speaker variabilities. Results show that the proposed method can increase the performance of monophone systems such that it reaches that of a triphone system.

Originalsprache	Englisch
Titel	Proc. Interspeech-2012
Seitenumfang	4
Erscheinungsort	Portland, USA
Erscheinungsdatum	01.09.2012
Seiten	1362-1365
ISBN (Print)	978-162276759-5
Publikationsstatus	Veröffentlicht - 01.09.2012
Veranstaltung	13th Annual Conference of the International Speech Communication Association 2012 - Portland, USA / Vereinigte Staaten Dauer: 09.09.2012 → 13.09.2012 Konferenznummer: 97207

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Dokumente

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.3497

Weitere Links

https://www.scopus.com/record/display.uri?eid=2-s2.0-84878420000&origin=inward&txGid=158bc86c695ae7e42873398b0d119fd0

Invariante Merkmale für die automatische Spracherkennung auf der Basis von komplexen Modellen der Spracherzeugung und der auditorischen Wahrnehmung
Mertins, A. (Projektleiter*in (PI))
01.01.11 → 31.12.13
Projekt: DFG-Projekte › DFG Einzelförderungen

Zitieren

@inproceedings{fa54279d9a66432992bfe7927c8b3649,

title = "Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition",

abstract = "Vocal tract length normalization (VTLN) is commonly applied utterance-wise with a warping function that makes the assumption of a linear dependence between the vocal tract length and the location of the formants. In this work we propose a datadriven method for enhancing the performance of systems that already use standard VTLN. The method is based on elastic registration to estimate optimal non-parametric transformations to further reduce inter-speaker variabilities. Results show that the proposed method can increase the performance of monophone systems such that it reaches that of a triphone system.",

author = "Florian M{\"u}ller and Alfred Mertins",

year = "2012",

month = sep,

day = "1",

language = "English",

isbn = " 978-162276759-5",

pages = "1362--1365",

booktitle = "Proc. Interspeech-2012",

note = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 ; Conference date: 09-09-2012 Through 13-09-2012",

}

Müller, F & Mertins, A 2012, Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition. in Proc. Interspeech-2012. Portland, USA, S. 1362-1365, 13th Annual Conference of the International Speech Communication Association 2012, Portland, Oregon, USA / Vereinigte Staaten, 09.09.12. <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.3497>

TY - GEN

T1 - Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition

AU - Müller, Florian

AU - Mertins, Alfred

N1 - Conference code: 97207

PY - 2012/9/1

Y1 - 2012/9/1

N2 - Vocal tract length normalization (VTLN) is commonly applied utterance-wise with a warping function that makes the assumption of a linear dependence between the vocal tract length and the location of the formants. In this work we propose a datadriven method for enhancing the performance of systems that already use standard VTLN. The method is based on elastic registration to estimate optimal non-parametric transformations to further reduce inter-speaker variabilities. Results show that the proposed method can increase the performance of monophone systems such that it reaches that of a triphone system.

AB - Vocal tract length normalization (VTLN) is commonly applied utterance-wise with a warping function that makes the assumption of a linear dependence between the vocal tract length and the location of the formants. In this work we propose a datadriven method for enhancing the performance of systems that already use standard VTLN. The method is based on elastic registration to estimate optimal non-parametric transformations to further reduce inter-speaker variabilities. Results show that the proposed method can increase the performance of monophone systems such that it reaches that of a triphone system.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84878420000&origin=inward&txGid=158bc86c695ae7e42873398b0d119fd0

M3 - Conference contribution

SN - 978-162276759-5

SP - 1362

EP - 1365

BT - Proc. Interspeech-2012

CY - Portland, USA

T2 - 13th Annual Conference of the International Speech Communication Association 2012

Y2 - 9 September 2012 through 13 September 2012

ER -

Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition

Abstract

UN SDGs

Dokumente

Weitere Links

Fingerprint

Projekte

Invariante Merkmale für die automatische Spracherkennung auf der Basis von komplexen Modellen der Spracherzeugung und der auditorischen Wahrnehmung

Zitieren