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Carlos
Antonio Molina Sánchez
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| Education
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Doctor in Electrical Engineering, University of Chile 2010.
Master of Science in Electrical Engineering, University of Chile 2005.
Engineer degree in Electrical Engineering, University of Chile 2005.
Bachelor of Engineering in Electrical Engineering, University of Chile 2003.
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| Awards |
CONICYT grant to attend an internship in Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, 2008.
CONICYT scholarship for PhD education in Electrical Engineering at Universidad de Chile, Santiago, Chile, 2006.
ISCA grant (International Speech Communication Association) to participate in INTERSPEECH 2004, Jeju Island, Korea. Octubre 4-8.
Honor's roll student, top 5 percent, at Electrical Engineering Department, Universidad de Chile, 2002.
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| Research Interests |
Speech technologies
Computer aided pronunciation training
Telecommunications
Software development
Digital signal processing
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Journal Papers |
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Fernando Huenupan, Nestor Becerra Yoma, Claudio Garreton and Carlos Molina.
Incremental information based on-line optimization of linear combination of classifiers in speaker verification.
ETRI (Electronics and Telecommunications Research Institute) journal, Volume 32, no.3, pp.395-405, 2010.
- Carlos Molina, Nestor Becerra Yoma, Fernando Huenupán, Claudio Garretón, and Jorge Wuth "Maximum Entropy-Based Reinforcement Learning Using a Confidence Measure in Speech Recognition for Telephone Speech," Audio, Speech, and Language Processing, IEEE Transactions on , vol.18, no.5, pp.1041-1052, July 2010
- Carlos Molina, Nestor Becerra Yoma, Jorge Wuth and Hiram Vivanco. ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech Communciation (Elsevier), Volume 51, pag. 485-498, 2009.
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Fernando Huenupan, Nestor Becerra Yoma, Carlos Molina and Claudio Garreton.
Confidence based multiple classifier fusion in speaker verification.
Pattern Recognition Letters, Volume 29, Issue 7, 1, Pages 957-966. May 2008 (pdf).
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Nestor Becerra Yoma, Claudio Garreton, Carlos Molina and Fernando Huenupan.
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech.
Speech Communication, In Press, Corrected Proof, Available online 5 December 2007 (pdf).
- Néstor Becerra Yoma and Carlos Molina.
Feature-Dependent Compensation of Coders in Speech
Recognition. Signal Processing, Elsevier. Vol. 86,
Issue 1, Pages 38-49. January 2006.
- Néstor Becerra Yoma, Carlos Molina,
Jorge Silva and Carlos Busso. Modelling, estimating
and compensating low-bit rate coding distortion
in speech recognition. IEEE Transactions on Speech
and Audio Processing. Vol. 14, Issue 1, Pages 246-255.
January 2006.
- Néstor Becerra Yoma, Jorge Carrasco
and Carlos Molina. Bayes-Based Confidence Measure
in Speech Recognition. IEEE Signal Processing Letters
Vol. 12, Nº11. November 2005.
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Speech
Processing and Transmission Laboratory
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