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Approaches to language identification using Gaussian mixture models and shifted delta cepstral features
Abstract
Published results indicate that automatic language identification (LID) systems that rely on multiple-language phone recognition and n-gram language modeling produce the best performance in formal LID evaluations. By contrast, Gaussian mixture model (GMM) systems, which measure acoustic characteristics, are far more efficient computationally but have tended to provide inferior levels of performance. This paper describes two GMM-based approaches to language identification that use shifted delta cepstra (SDC) feature vectors to achieve LID performance comparable to that of the best phone-based systems. The approaches include both acoustic scoring and a recently developed GMM tokenization system that is based on a variation of phonetic recognition and language modeling. System performance is evaluated on both the CallFriend and OGI corpora. 1.
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Cited by
Support vector machines for speaker and language recognition
Campbell, W. M., Campbell, J. P., Reynolds, D. A., Singer, E., & Torres-Carrasquillo, P. A. (2006) · Computer Speech & Language · doi:10.1016/j.csl.2005.06.003 · Cited by 525
Self-citationA comparison of features for synthetic speech detection
Sahidullah, M., Kinnunen, T., & Hanilçi, C. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-472 · Cited by 382
Spoken Language Recognition: From Fundamentals to Practice
Li, H., Ma, B., & Lee, K. A. (2013) · Proceedings of the IEEE · doi:10.1109/jproc.2012.2237151 · Cited by 296
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction
Brady, K., Gwon, Y., Khorrami, P., Godoy, E., Campbell, W., Dagli, C., & Huang, T. S. (2016) · Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge · doi:10.1145/2988257.2988264 · Cited by 110
Lahoti, A., Gurugubelli, K., Arroyave, J. R. O., & Vuppala, A. K. (2022) · Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing · doi:10.1145/3549206.3549258 · Cited by 1
Metadata
- Authors
- Torres-Carrasquillo, P. A., Singer, E., Kohler, M. A., Greene, R. J., Reynolds, D. A., & Deller Jr., J. R.
- Venue
- 7th International Conference on Spoken Language Processing (ICSLP 2002)
- Publisher
- ISCA
- Published
- 2002-09-16
- Pages
- 89-92
- OpenAlex
- W2146194791
- Cited by
- 392
- References
- 0
- FWCI
- 3.53
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Torres-Carrasquillo, P. A., Singer, E., Kohler, M. A., Greene, R. J., Reynolds, D. A., & Deller Jr., J. R. (2002). Approaches to language identification using Gaussian mixture models and shifted delta cepstral features. 7th International Conference on Spoken Language Processing (ICSLP 2002). https://doi.org/10.21437/icslp.2002-74
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