 |
       |
| < Back to People |
Associate Professor at the Department
of Electrical Engineering |
Nestor Becerra
Yoma
Department of Electrical Enginering,
University of Chile
Av Tupper 2007, Santiago
Chile.
(56 2) 978-4205 (office)
(56 2) 695-3881 (fax)
Email: nbecerra@ing.uchile.cl
Download CV in PDF format here
|
|
|
Néstor Becerra Yoma was born
in Santiago, Chile, on September 15th, 1964. He received
the B.Sc. and M.Sc. degrees fromUNICAMP (Campinas State
University), Sao Paulo, Brazil, and the Ph.D. degree
from the University of Edinburgh, UK, all of them in
Electrical Engineering, in 1986, 1993 and 1998, respectively.
In 1998 and 1999, he was a post-doc researcher at UNICAMP
and a full-time professor at Mckenzie University in
Sao Paulo, Brazil.
From 2000, he has been a Professor at the Department
of Electrical Engineering, University of Chile, in Santiago,
where he is currently lecturing on telecommunications
and speech processing, and working on robust speech
recognition/speaker verification, dialogue systems and
voice over IP.
At the University of Chile he has set up the Laboratory
of Speech Processing and Transmission to study speech
technology applications on the Internet and telephone
line. Professor Becerra Yoma is a member of the Institution
of the Electrical and Electronic Engineers, and the
International Speech Communication Association.
|
Research Interests |
| Speech recognition, Speech verification, Speech coding,
Robust Speech processing, real time Internet protocols,
QoS, and usability evaluation of interfaces. |
| |
Selected Publications |
- 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. Pages 745-748. November 2005.
- Néstor Becerra Yoma, Carlos Busso
and Ismael Soto. Packet-loss modeling in IP networks with
state duration constraints. IEE Proceedings on Communications,
Vol. 152 (1), pp. 1-5, Feb. 2005.
- Estévez P.A., Néstor Becerra Yoma,
Boric N. , Ramírez J.A. Genetic Programming-based Voice Activity
Detection. Electronics Letters, 2005 (in press).
- Néstor Becerra Yoma, Juan Hood,
Carlos Busso. A real-time protocol for the Internet
Based on the LMS algorithm. IEEE Transactions on Multimedia ,
Vol.6, Nº1, Feb., pp. 174-184, 2004.
- Néstor Becerra Yoma, Jorge Silva,
Carlos Busso and Ivan Brito. On compensating additive noise and
CS-CELP distortion in speech recognition using the stochastic
weighted viterbi algorithm. IEEE Electronics Letters, Vol. 39, Nº 4,
pp. 409-411, Feb. 2003.
- Néstor Becerra Yoma, Juan
Hood, Carlos Busso. A real-time protocol for
the Internet Based on the LMS algorithm. Accepted
for publication in IEEE Transactions on Multimedia,
2002
- Néstor Becerra Yoma and
Jorge Silva. MAP speaker adaptation of state
duration distributions for speech recognition. IEEE
Transactions on Speech and Audio Processing Vol.
10, Nº7, pp.443-450, 2002.
- Néstor Becerra Yoma and
Miguel Villar. Speaker Verification in noise
using a stochastic version of the weighted Viterbi
algorithm. IEEE Transactions on Speech and
Audio Processing, Vol. 10, No 3, March 2002.
- Néstor Becerra Yoma, Fergus
McInnes, Mervyn Jack. Improving Performance of Spectral
Subtraction in speech recognition using a model
for additive noise. IEEE Transactions on Speech
and Audio Processing, Vol. 6, No. 6, 1998.
- Néstor Becerra Yoma et
al. On including temporal constraints in the
Viterbi algorithm for speech recognition in noise.
IEEE Transactions on Speech and Audio Processing
, Vol. 9, No.2, pp. 179-182, 2001.
- Néstor Becerra Yoma,
Fergus McInnes, Mervyn Jack. Improving Performance
of Spectral Subtraction in speech recognition using
a model for additive noise. IEEE Transactions
on Speech and Audio Processing, Vol. 6, No. 6, 1998.
- All publications
|
|
|
Speech
Processing and Transmission Laboratory
|
|
|