The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Language recognition via i-vectors and dimensionality reduction
Abstract
In this paper, a new language identification system is presented based on the total variability approach previously developed in the field of speaker identification. Various techniques are em-ployed to extract the most salient features in the lower dimen-sional i-vector space and the system developed results in excel-lent performance on the 2009 LRE evaluation set without the need for any post-processing or backend techniques. Additional performance gains are observed when the system is combined with other acoustic systems.
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Citations
Cites
Front-End Factor Analysis for Speaker Verification
Dehak, N., Kenny, P. J., Dehak, R., Dumouchel, P., & Ouellet, P. (2011) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/tasl.2010.2064307 · Cited by 3,549
Self-citationThe Nature of Statistical Learning
Vapnik, V. N. (1995) · Medical Entomology and Zoology · Cited by 2,295
Neighbourhood Components Analysis
Goldberger, J., Hinton, G. E., Roweis, S. T., & Salakhutdinov, R. (2004) · Cited by 1,855
A Study of Interspeaker Variability in Speaker Verification
Kenny, P., Ouellet, P., Dehak, N., Gupta, V., & Dumouchel, P. (2008) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/tasl.2008.925147 · Cited by 589
Self-citationSupport 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-citationEigenvoice modeling with sparse training data
Kenny, P., Boulianne, G., & Dumouchel, P. (2005) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2004.840940 · Cited by 475
Within-class covariance normalization for SVM-based speaker recognition
Hatch, A. O., Kajarekar, S., & Stolcke, A. (2006) · Interspeech 2006 · doi:10.21437/interspeech.2006-183 · Cited by 406
Dehak, N., Dehak, R., Kenny, P., Brümmer, N., Ouellet, P., & Dumouchel, P. (2009) · Interspeech 2009 · doi:10.21437/interspeech.2009-385 · Cited by 326
Self-citationChannel compensation for SVM speaker recognition.
Solomonoff, A., Quillen, C., & Campbell, W. M. (2004) · Cited by 146
Cited by
Speaker adaptation of neural network acoustic models using i-vectors
Saon, G., Soltau, H., Nahamoo, D., & Picheny, M. (2013) · 2013 IEEE Workshop on Automatic Speech Recognition and Understanding · doi:10.1109/asru.2013.6707705 · Cited by 577
Self-supervised speech representation learning: A review
Mohamed, A., Lee, H.-Y., Borgholt, L., Havtorn, J. D., Edin, J., Igel, C., Kirchhoff, K., Li, S.-W., Livescu, K., Maaløe, L., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2022.3207050 · Cited by 372
“Subsequent techniques in speaker and language verification [34], [35] similarly extracted param-”
MethodModel Fusion for Multimodal Depression Classification and Level Detection
Senoussaoui, M., Sarria-Paja, M., Santos, J. F., & Falk, T. H. (2014) · Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge · doi:10.1145/2661806.2661819 · Cited by 80
Metadata
- Authors
- Dehak, N., Torres-Carrasquillo, P. A., Reynolds, D., & Dehak, R.
- Venue
- Interspeech 2011
- Publisher
- ISCA
- Published
- 2011-08-27
- Pages
- 857-860
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2189248916
- Cited by
- 419
- References
- 9
- FWCI
- 15.33
- Type
- conference paper
- Language
- en
- Open access
- closed
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