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Support vector machines for speaker and language recognition
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Citations
Cited by
An overview of text-independent speaker recognition: From features to supervectors
Kinnunen, T., & Li, H. (2010) · Speech Communication · doi:10.1016/j.specom.2009.08.009 · Cited by 1,434
Language recognition via i-vectors and dimensionality reduction
Dehak, N., Torres-Carrasquillo, P. A., Reynolds, D., & Dehak, R. (2011) · Interspeech 2011 · doi:10.21437/interspeech.2011-328 · Cited by 419
Self-citationA review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
Durbha, S. S., King, R. L., & Younan, N. H. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.09.031 · Cited by 273
An Overview of Speaker Identification: Accuracy and Robustness Issues
Togneri, R., & Pullella, D. (2011) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2011.941079 · Cited by 263
Metadata
- Authors
- Campbell, W. M., Campbell, J. P., Reynolds, D. A., Singer, E., & Torres-Carrasquillo, P. A.
- Venue
- Computer Speech & Language
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 20
- Issue
- 2-3
- Pages
- 210-229
- ISSN
- 0885-2308 (ISSN-L)
- OpenAlex
- W1993482042
- Cited by
- 525
- References
- 0
- FWCI
- 23.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: Support vector machines for speaker and language recognition. https://app.cochat.ai/papers/10.1016/j.csl.2005.06.003
- The paper
- Campbell, W. M., Campbell, J. P., Reynolds, D. A., Singer, E., & Torres-Carrasquillo, P. A. (2006). Support vector machines for speaker and language recognition. Computer Speech & Language. https://doi.org/10.1016/j.csl.2005.06.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
