Frequency-Warping Invariant Features for Automatic Speech Recognition

Alfred Mertins; Jan Rademacher

doi:10.1109/ICASSP.2006.1661453

Frequency-Warping Invariant Features for Automatic Speech Recognition

Alfred Mertins, Jan Rademacher

Institut für Signalverarbeitung

Carl von Ossietzky Universität Oldenburg

Abstract

Based on the well-known relationship between vocal tract length (VTL) variation and linear frequency warping, we present a method for generating vocal tract length invariant (VTLI) features. These features are computed as translation invariant, correlation-type features in a log-frequency domain. In phoneme classification and recognition experiments on the TIMIT database, their discrimination capabilities and robustness to mismatches between training and test conditions turned out to be considerably better than for Mel-frequency cepstral coefficients (MFCCs). The best results are obtained when VTLI features and MFCCs are combined

Originalsprache	Englisch
Titel	2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
Seitenumfang	4
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	01.12.2006
Seiten	1025-1028
Aufsatznummer	1661453
ISBN (Print)	978-142440469-8
DOIs	https://doi.org/10.1109/ICASSP.2006.1661453
Publikationsstatus	Veröffentlicht - 01.12.2006
Veranstaltung	2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Toulouse, Frankreich Dauer: 14.05.2006 → 19.05.2006 Konferenznummer: 69350

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10.1109/ICASSP.2006.1661453

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Mertins, A., & Rademacher, J. (2006). Frequency-Warping Invariant Features for Automatic Speech Recognition. in 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (S. 1025-1028). Artikel 1661453 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). IEEE. https://doi.org/10.1109/ICASSP.2006.1661453

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title = "Frequency-Warping Invariant Features for Automatic Speech Recognition",

abstract = "Based on the well-known relationship between vocal tract length (VTL) variation and linear frequency warping, we present a method for generating vocal tract length invariant (VTLI) features. These features are computed as translation invariant, correlation-type features in a log-frequency domain. In phoneme classification and recognition experiments on the TIMIT database, their discrimination capabilities and robustness to mismatches between training and test conditions turned out to be considerably better than for Mel-frequency cepstral coefficients (MFCCs). The best results are obtained when VTLI features and MFCCs are combined",

author = "Alfred Mertins and Jan Rademacher",

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doi = "10.1109/ICASSP.2006.1661453",

language = "English",

isbn = "978-142440469-8",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Mertins, A & Rademacher, J 2006, Frequency-Warping Invariant Features for Automatic Speech Recognition. in 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings., 1661453, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, S. 1025-1028, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing , Toulouse, Frankreich, 14.05.06. https://doi.org/10.1109/ICASSP.2006.1661453

Frequency-Warping Invariant Features for Automatic Speech Recognition. / Mertins, Alfred; Rademacher, Jan.
2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. IEEE, 2006. S. 1025-1028 1661453 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Frequency-Warping Invariant Features for Automatic Speech Recognition

AU - Mertins, Alfred

AU - Rademacher, Jan

N1 - Conference code: 69350

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Based on the well-known relationship between vocal tract length (VTL) variation and linear frequency warping, we present a method for generating vocal tract length invariant (VTLI) features. These features are computed as translation invariant, correlation-type features in a log-frequency domain. In phoneme classification and recognition experiments on the TIMIT database, their discrimination capabilities and robustness to mismatches between training and test conditions turned out to be considerably better than for Mel-frequency cepstral coefficients (MFCCs). The best results are obtained when VTLI features and MFCCs are combined

AB - Based on the well-known relationship between vocal tract length (VTL) variation and linear frequency warping, we present a method for generating vocal tract length invariant (VTLI) features. These features are computed as translation invariant, correlation-type features in a log-frequency domain. In phoneme classification and recognition experiments on the TIMIT database, their discrimination capabilities and robustness to mismatches between training and test conditions turned out to be considerably better than for Mel-frequency cepstral coefficients (MFCCs). The best results are obtained when VTLI features and MFCCs are combined

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U2 - 10.1109/ICASSP.2006.1661453

DO - 10.1109/ICASSP.2006.1661453

M3 - Conference contribution

SN - 978-142440469-8

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 1025

EP - 1028

BT - 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

PB - IEEE

T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 14 May 2006 through 19 May 2006

ER -

Frequency-Warping Invariant Features for Automatic Speech Recognition

Abstract

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