Automatic speech recognition and intrinsic speech variation

M. Benzeguiba; R. De Mon; O. Deroo; S. Dupont; T. Erbes; D. Jouvet; L. Fissore; P. Laface; A. Mertins; C. Ris; R. Rose; V. Tyagi; C. Wellekens

doi:10.1109/ICASSP.2006.1661452

Automatic speech recognition and intrinsic speech variation

M. Benzeguiba, R. De Mon, O. Deroo, S. Dupont, T. Erbes, D. Jouvet, L. Fissore, P. Laface, A. Mertins, C. Ris, R. Rose, V. Tyagi, C. Wellekens

Institute of Signal Processing

Abstract

This paper briefly reviews state of the art related to the topic of speech variability sources in automatic speech recognition systems. It focuses on some variations within the speech signal that make the ASR task difficult. The variations detailed in the paper are intrinsic to the speech and affect the different levels of the ASR processing chain. For different sources of speech variation, the paper summarizes the current knowledge and highlights specific feature extraction or modeling weaknesses and current trends.

Original language	English
Title of host publication	2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
Number of pages	4
Publisher	IEEE
Publication date	01.12.2006
Pages	1021-1024
Article number	1661452
ISBN (Print)	1-4244-0469-X
DOIs	https://doi.org/10.1109/ICASSP.2006.1661452
Publication status	Published - 01.12.2006
Event	2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Toulouse, France Duration: 14.05.2006 → 19.05.2006 Conference number: 69350

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Benzeguiba, M., De Mon, R., Deroo, O., Dupont, S., Erbes, T., Jouvet, D., Fissore, L., Laface, P., Mertins, A., Ris, C., Rose, R., Tyagi, V., & Wellekens, C. (2006). Automatic speech recognition and intrinsic speech variation. In 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (pp. 1021-1024). Article 1661452 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). IEEE. https://doi.org/10.1109/ICASSP.2006.1661452

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title = "Automatic speech recognition and intrinsic speech variation",

abstract = "This paper briefly reviews state of the art related to the topic of speech variability sources in automatic speech recognition systems. It focuses on some variations within the speech signal that make the ASR task difficult. The variations detailed in the paper are intrinsic to the speech and affect the different levels of the ASR processing chain. For different sources of speech variation, the paper summarizes the current knowledge and highlights specific feature extraction or modeling weaknesses and current trends.",

author = "M. Benzeguiba and {De Mon}, R. and O. Deroo and S. Dupont and T. Erbes and D. Jouvet and L. Fissore and P. Laface and A. Mertins and C. Ris and R. Rose and V. Tyagi and C. Wellekens",

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Benzeguiba, M, De Mon, R, Deroo, O, Dupont, S, Erbes, T, Jouvet, D, Fissore, L, Laface, P, Mertins, A, Ris, C, Rose, R, Tyagi, V & Wellekens, C 2006, Automatic speech recognition and intrinsic speech variation. in 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings., 1661452, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 1021-1024, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing , Toulouse, France, 14.05.06. https://doi.org/10.1109/ICASSP.2006.1661452

Automatic speech recognition and intrinsic speech variation. / Benzeguiba, M.; De Mon, R.; Deroo, O. et al.
2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. IEEE, 2006. p. 1021-1024 1661452 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Automatic speech recognition and intrinsic speech variation

AU - Benzeguiba, M.

AU - De Mon, R.

AU - Deroo, O.

AU - Dupont, S.

AU - Erbes, T.

AU - Jouvet, D.

AU - Fissore, L.

AU - Laface, P.

AU - Mertins, A.

AU - Ris, C.

AU - Rose, R.

AU - Tyagi, V.

AU - Wellekens, C.

N1 - Conference code: 69350

PY - 2006/12/1

Y1 - 2006/12/1

N2 - This paper briefly reviews state of the art related to the topic of speech variability sources in automatic speech recognition systems. It focuses on some variations within the speech signal that make the ASR task difficult. The variations detailed in the paper are intrinsic to the speech and affect the different levels of the ASR processing chain. For different sources of speech variation, the paper summarizes the current knowledge and highlights specific feature extraction or modeling weaknesses and current trends.

AB - This paper briefly reviews state of the art related to the topic of speech variability sources in automatic speech recognition systems. It focuses on some variations within the speech signal that make the ASR task difficult. The variations detailed in the paper are intrinsic to the speech and affect the different levels of the ASR processing chain. For different sources of speech variation, the paper summarizes the current knowledge and highlights specific feature extraction or modeling weaknesses and current trends.

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M3 - Conference contribution

SN - 1-4244-0469-X

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

SP - 1021

EP - 1024

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

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Benzeguiba M, De Mon R, Deroo O, Dupont S, Erbes T, Jouvet D et al. Automatic speech recognition and intrinsic speech variation. In 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. IEEE. 2006. p. 1021-1024. 1661452. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2006.1661452

Automatic speech recognition and intrinsic speech variation

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