Language Identification using Acoustic Models and Speaker Compensated Cepstral-Time Matrices
This work presents two contributions to language identification. The first contribution is the definition of a set of properly selected time-frequency features that are a valid alternative to the commonly used shifted delta cepstral features. As a second contribution, we show that significant perfor...
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creator | Castaldo, F. Dalmasso, E. Laface, P. Colibro, D. Vair, C. |
description | This work presents two contributions to language identification. The first contribution is the definition of a set of properly selected time-frequency features that are a valid alternative to the commonly used shifted delta cepstral features. As a second contribution, we show that significant performance improvement in language recognition can be obtained estimating a subspace that represents the distortions due to inter-speaker variability within the same language, and compensating these distortions in the domain of the features. Experiments on the NIST 1996 and 2003 Language Recognition Evaluation data have been successfully used to validate the effectiveness of the proposed techniques. |
doi_str_mv | 10.1109/ICASSP.2007.367244 |
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The first contribution is the definition of a set of properly selected time-frequency features that are a valid alternative to the commonly used shifted delta cepstral features. As a second contribution, we show that significant performance improvement in language recognition can be obtained estimating a subspace that represents the distortions due to inter-speaker variability within the same language, and compensating these distortions in the domain of the features. Experiments on the NIST 1996 and 2003 Language Recognition Evaluation data have been successfully used to validate the effectiveness of the proposed techniques.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2007.367244</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acoustic distortion Cepstral analysis cepstral-time matrices frame domain compensation language identification Loudspeakers Natural languages NIST Performance evaluation phonetic language models speaker and channel compensation Speech recognition Support vector machine classification Support vector machines Time frequency analysis |
title | Language Identification using Acoustic Models and Speaker Compensated Cepstral-Time Matrices |
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