31 results on '"Pedro A. Torres-Carrasquillo"'
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2. Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge.
3. Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21.
4. Bayesian Estimation of Plda with Noisy Training Labels, with Applications to Speaker Verification.
5. State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18.
6. The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System.
7. The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System.
8. State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations.
9. Corpora for the Evaluation of Robust Speaker Recognition Systems.
10. The MITLL NIST LRE 2015 Language Recognition System.
11. I-vector speaker and language recognition system on Android.
12. Approaches for language identification in mismatched environments.
13. The MITLL NIST LRE 2011 language recognition system.
14. Automatic Detection of Depression in Speech Using Gaussian Mixture Modeling with Factor Analysis.
15. Language Recognition via i-vectors and Dimensionality Reduction.
16. Informative dialect recognition using context-dependent pronunciation modeling.
17. The MIT LL 2010 speaker recognition evaluation system: Scalable language-independent speaker recognition.
18. The MITLL NIST LRE 2009 language recognition system.
19. Discriminative n-gram selection for dialect recognition.
20. Eigen-channel compensation and discriminatively trained Gaussian mixture models for dialect and accent recognition.
21. The MITLL NIST LRE 2007 language recognition system.
22. A comparison of subspace feature-domain methods for language recognition.
23. Advanced Language Recognition using Cepstra and Phonotactics: MITLL System Performance on the NIST 2005 Language Recognition Evaluation.
24. The 2004 MIT Lincoln Laboratory Speaker Recognition System.
25. Approaches and applications of audio diarization.
26. Dialect identification using Gaussian mixture models.
27. Language recognition with support vector machines.
28. Acoustic, phonetic, and discriminative approaches to automatic language identification.
29. Approaches to language identification using Gaussian mixture models and shifted delta cepstral features.
30. Language identification using Gaussian mixture model tokenization.
31. Support vector machines for speaker and language recognition.
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