International Journal Papers

Source: ISI Web of Science Core Collection. Thomson Reuters (™). www.webofknowledge.com
2018

  • Novoa, J., Fredes, J., Poblete, V., & Yoma, N. B. (2017). Uncertainty weighting and propagation in DNN-HMM-based speech recognition. Computer Speech & Language, Volume 47, January 2018, Pages 30-46

2017

  • Mahu, R., Rojo, P., Dehghan Firoozabadi, A., Soto, I., Sedaghatid, E., Yoma, N. B. “Estimation of Exoplanetary Planet-to-Star Radius Ratio with Homomorphic Processing”. Accepted for publication in Astronomy and Computing. 2017.
  • Maldonado, M., Pinto, A., Gomez, C. O., Yoma, N. B. “Electrode arrangements for continuous measurement of dispersion conductivity in lab flotation cells”. Minerals Engineering, 111, 1-4. 2017.
  • Dehghan Firoozabadi, A., Diaz, A., Rojo, P., Soto, I., Mahu, R., Yoma, N. B., Sedaghati, E. “Unsupervised Method for Correlated Noise Removal for Multi-wavelength Exo-planet Transit Observations”. Publications of the Astronom. Society of the Pacific, 129(7), 074502. 2017.
  • Salman Khan, James Jenkins, Néstor Becerra Yoma. “Discovering new worlds: a review of signal processing methods for detecting exoplanets from astronomical radial velocity data.” Accepted for publication in IEEE Signal Processing Magazine, January, 2017.
  • Josue Fredes, Jose Novoa, Simon King, Richard Stern, Nestor Becerra Yoma. “Locally-Normalized Filter Banks Applied to Deep Neural Network-based Robust Speech Recognition.” IEEE Signal Processing Letters, Volume 24, January 2017, Pages 377-381.

2016

  • James Jenkins et al. “New Planetary Systems from the Calan-Hertfordshire Extrasolar Planet Search.” Accepted for publication in MNRAS, November, 2016.
  • Sohail Masood Bhatti, Muhammad Salman Khan, Jorge Wuth, Fernando Huenupan, Fernando Huenupan, Millaray Curilem, Luis Franco, Nestor Becerra Yoma. “Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models.” Journal of Volcanology and Geothermal Research, Volume 324, 15 September 2016, Pages 134–143.
  • Gonzalo Montes-Atenas, Fabián Seguel, Alvaro Valencia, Sohail Masood Bhatti, Muhammad Salman Khan, Ismael Soto, Néstor Becerra Yoma. “Predicting bubble size and bubble rate data in water and in froth flotation-like slurry from computational fluid dynamics (CFD) by applying deep neural networks (DNN).” International Communications in Heat and Mass Transfer, Volume 76, August 2016, Pages 197–201.

2015

  • Muhammad Salman Khana, Gonzalo Montes, Alvaro Valencia, Sohail Masood Bhattia, Nestor Becerra Yoma. “On discriminating sizes of CFD generated bubbles with signal processing analysis.” International Journal of Heat and Mass Transfer (Elsevier). In press, Volume 89, October 2015, Pages 996–1006.
  • Fabian Seguel, Ismael Soto, Nicolas Krommenacker, Miguel Maldonado, Néstor Becerra Yoma. “Optimizing flotation bank performance through froth depth profiling: Revisited.” Minerals Engineering (Elsevier), Volume 77, June 2015, Pages 179–184.
  • Victor Poblete, Felipe Espic, Simon King, Richard M. Stern, Fernando Huenupán, Josué Fredes, Néstor Becerra Yoma. “A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification.” Computer Speech & Language, Volume 31, Issue 1, May 2015, Pages 1–27.
  • Walid Hussein, Muhammad Salman Khan, Juan Zamorano, Felipe Espic and Nestor Becerra Yoma. “A novel ultrasound based technique for classifying gas bubble sizes in liquids.” Measurement Science and Technology. Vol. 25, N°12, 2014.
  • J. S. Jenkins, N. Becerra Yoma, P. Rojo, R. Mahu and J. Wuth. “Improved signal detection algorithms for unevenly sampled data. Six signals in the radial velocity data for GJ876.” MNRAS 441 (3): 2253-226, 2014.

2014

  • Arias, J. P., Busso, C., Yoma Becerra, N., 2014. Shape-based modeling of the fundamental frequency contour for emotion detection in speech. Computer Speech and Language. 28(1), 278-294. [pdf]
  • Poblete, V., Yoma Becerra, N., Stern, R. M., 2014. Optimization of the parameters characterizing sigmoidal rate-level functions based on acoustic features. Speech Communication. 56, 19-34. [pdf]

2013

  • Yoma Becerra, N, Benavides, L., Wuth, J., Vivanco, H., 2013. Multicriteria-based computer-aided pronunciation quality evaluation of sentences. ETRI Electronics and Telecommunications Research Institute Journal. 35(1), 89-99. [pdf]
  • Yoma Becerra, N., Garreton, C., Huenupán, F., Catalán, I., Wuth, J., 2013. On reducing harmonic and sampling distortion in vocal tract length normalization. IEEE Transactions on Audio, Speech and Language Processing. 21(1), 110-121. [pdf]

2012

  • Garretón, C., Yoma Becerra, N., 2012. Telephone channel compensation in speaker verification using a polynomial approximation in the log-filter-bank energy domain. IEEE Transactions on Audio, Speech and Language Processing. 20(1), 336-341. [pdf]

2010

  • Molina, C., Yoma Becerra, N., Huenupán, F., Garretón, C., Wuth, J., 2010. Maximum entropy-based reinforcement learning using a confidence measure in speech recognition for telephone speech. IEEE Transactions on Audio, Speech and Language Processing. 18(5), 1041-1052. [pdf]
  • Garretón, C., Yoma Becerra, N., Torres, M., 2010. Channel robust feature transformation based on filter-bank energy filtering. IEEE Transactions on Audio, Speech and Language Processing. 18(5), 1082-1086. [pdf]
  • Huenupán, F., Yoma Becerra, N., Garretón, C., Molina, C., 2010. On-Line Linear Combination of Classifiers Based on Incremental Information in Speaker Verification. ETRI Journal. 32(3), 395-405. [pdf]
  • Arias, J. P., Yoma Becerra, N., Vivanco, H., 2010. Automatic intonation assessment for computer aided language learning. Speech Communication. 52(3), 254-267. [pdf]

2009

  • Molina, C., Yoma Becerra, N., Wuth, J., Vivanco, H., 2009. ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech Communication. 51(6), 485-498. [pdf]

2008

  • Yoma Becerra, N., Garretón, C., Molina, C., Huenupán, F., 2008. Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech. Speech Communication. 50(11-12), 953-964. [pdf]
  • Huenupán, F., Yoma Becerra, N., Molina, C., Garretón, C., 2008. Confidence based multiple classifier fusion in speaker verification. Pattern Recognition Letters. 29(7), 957-966. [pdf]

2006

  • Bassi, A., Yoma Becerra, N., Loncomilla, P., 2006. Estimating tonal prosodic discontinuities in Spanish using HMM. Speech Communication. 48(9), 1112-1125. [pdf]
  • Yoma Becerra, N., Molina, C., Silva, J., Busso, C., 2006. Modeling, estimating, and compensating low-bit rate coding distortion in speech recognition. IEEE Transactions on Audio, Speech and Language Processing. 14(1), 246-255. [pdf]
  • Yoma Becerra, N., Molina, C., 2006. Feature-dependent compensation of coders in speech recognition. Signal Processing. 86(1), 38-49. [pdf]

2005

  • Yoma Becerra, N., Carrasco, J., Molina, C., 2005. Bayes-based confidence measure in speech recognition. IEEE Signal Processing. 12(11), 745-748. [pdf]
  • Yoma Becerra, N.; Busso, C; Soto, I., 2005. Packet-loss modelling in IP networks with state-duration constraints. IEE Proceedings Communications. 152(1), 1-5. [pdf]
  • Estévez, P. A., Yoma Becerra, N., Boric N., Ramirez, J. A., 2005. Genetic Programming-based Voice Activity Detection. Electronics Letters. 41(20), 1141-1143. [pdf]

2004

  • Yoma Becerra, N., Hood, J, Busso, C., 2004. A real-time protocol for the Internet Based on the LMS algorithm. IEEE Transactions on Multimedia. 6(1), 174-184. [pdf]

2003

  • Yoma Becerra, N., Silva, J., Busso, C., Brito, I., 2003. Compensating additive noise and CS-CELP distortion in speech recognition using the stochastic weighted viterbi algorithm. IEEE Electronics Letters. 39(4), 409-411. [pdf]
  • Nestor Becerra Yoma, Fergus McInnes, Mervyn Jack. Lateral inhibition net and weighted matching algorithm for speech recognition in noise. IEE Proceedings Vision, Image and Signal Processing, Vol. 143, No. 5, October 1996, pp. 324-330.

2002

  • Yoma Becerra, N., Silva, J., 2002. MAP speaker adaptation of state duration distributions for speech recognition. IEEE Transactions on Speech and Audio Processing. 10(7), 443-450. [pdf]
  • Yoma Becerra, N., Pegoraro, T. F., 2002. Robust speaker verification with state duration modeling. Speech Communication. 38(1-2), 77-88. [pdf]
  • Yoma Becerra, N., Villar, M., 2002. Speaker verification in noise using a stochastic version of the weighted Viterbi algorithm. IEEE Transactions on Speech and Audio Processing. 10(3), 158-166. [pdf]

2001

  • Yoma Becerra, N., McInnes, F. R., Jack, M. A., Stump, S. D., Ling, L. L., 2001. On including temporal constraints in Viterbi alignment for speech recognition in noise. IEEE Transactions on Speech and Audio Processing. 9(2), 179-182. [pdf]

1998

  • Yoma Becerra, N., McInnes, F. R., Jack, M. A., 1998. Improving performance of spectral subtraction in speech recognition using a model for additive noise. IEEE Transactions on Speech and Audio Processing. 6(6), 579-582. [pdf]

1996

  • Yoma Becerra, N., McInnes, F. R., Jack, M. A., 1996. Lateral inhibition net and weighted matching algorithms for speech recognition in noise. IEEE Proceedings-Vision Image and Signal Processing. 143(5), 324-330. [pdf]
  • Yoma Becerra, N., McInnes, F. R., Jack, M. A., 1996. Robust speech pulse detection using adaptive noise modelling. Electronics Letters. 32(15), 1350-1352. [pdf]

International Conferences

2016

  • Victor Poblete et al. “On addressing reverberant distortion with Locally Normalized Cepstral Coefficients.” In Proceedings Interspeech 2016, San Francisco, September 8th-12th, 2016.

2015

  • Fredes, J., Novoa, J., Poblete, V., King, S., Stern, R., Yoma Becerra, N., 2015. “Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification”, In Proceedings of Interspeech 2015. 3011-3015. Dresden, Germany. [pdf]

2013

  • Yoma Becerra, N., Garretón, C., Huenupán, F., Catalán, I., Wuth, J., 2013. VTLN based on the linear interpolation of contiguous Mel filter-bank energies. In Proceedings of Interspeech 2013. 3337-3341. Lyon, France. [pdf]
  • Arias, J. P., Busso, C., Yoma Becerra, N., 2013. Energy and F0 contour modeling with functional data analysis for emotional speech detection. In Proceedings of Interspeech 2013. 2871-2875. Lyon, France. [pdf]
  • Poblete, V., Yoma Becerra, N., Stern, R. M. Optimization of sigmoidal rate-level function based on acoustic features. In Proceedings of Interspeech 2013. 896-900. Lyon, France. [pdf]

2012

  • Wuth, J., Yoma Becerra, N., Benavides, L., Vivanco, H., 2012. Pronunciation quality evaluation of sentences by combining word based scores. In Proceedings of Interspeech 2012. Portland, Oregon, USA. [pdf]

2011

  • Molina, C., Lee, S., Narayanan, S. S., Yoma Becerra, N., 2011. A study of the effectiveness of articulatory strokes for phonemic recognition. In Proceedings of Interspeech 2011. 2513-2516. Florence, Italy. [pdf]

2010

  • Garretón, C., Yoma Becerra, N., 2010. On enhancing feature sequence filtering with filter-bank energy transformation in speaker verification with telephone speech. In Proceedings of Interspeech 2010. 1461-1464. Makuhari, Japan. [pdf]

2009

  • Arias, J. P., Yoma Becerra, N., Vivanco, H., 2009. Word stress assessment for computer aided language learning. In Proceedings of Interspeech 2009. 1135-1138. Brighton, UK. [pdf]
  • Molina, C., Yoma Becerra, N, Wuth, J., Vivanco, H., 2009. ASR based pronunciation evaluation with automatically generated competing vocabulary. In Proceedings of Interspeech 2009. 1907-1910. Brighton, UK. [pdf]

2008

  • Molina, C., Yoma Becerra, N., Huenupán, F., Garretón, C., 2008. Unsupervised re-scoring of observation probability based on maximum entropy criterion by using confidence measure with telephone speech. In Proceedings of Interspeech 2008. 1016-1019. Brisbane, Australia. [pdf]

2007

  • Garretón, C., Yoma Becerra, N., Huenupán, F., Molina, C., 2007. On comparing and combining intra-speaker variability compensation and unsupervised model adaptation in speaker verification. In Proceedings of Interspeech 2007. 770-773. Antwerp, Belgium. [pdf]
  • Molina, C., Yoma Becerra, N., Huenupán, F., Garretón, C., 2007. Unsupervised re-scoring of observation probability in Viterbi based on reinforcement learning by using confidence measure and HMM neighborhood. In Proceedings of Interspeech 2007. 1733-1736, Antwerp, Belgium. [pdf]
  • Huenupán, F., Yoma Becerra, N., Molina, C., Garretón, C., 2007. Speaker verification with multiple classifier fusion using Bayes based confidence measure. In Proceedings of Interspeech 2007. 2041-2044. Antwerp, Belgium. [pdf]

2006

  • Garretón, C., Yoma Becerra, N., Molina, C., Huenupán, F., 2006. Intra-speaker variability compensation in speaker verification with limited enrolling data. In Proceedings of Interspeech 2006. Pittsburgh, PA, USA. [pdf]

2005

  • Yoma Becerra, N., Busso, C., Inzunza, J., Huenupán, F., 2005. Packet-loss modeling with state duration constraints and VoIP based on perceptual quality maximization. In Proceedings of 10th International Conference on Speech and Computer (SPECOM 2005). 757-760. Patras, Greece. [pdf]
  • Bassi, A., Yoma Becerra, N., Huenupán, F., Inzunza, J., 2005. Tonal prosody estimation in spanish using HMM with temporal restrictions. In Proceedings of 10th International Conference on Speech and Computer (SPECOM 2005). Patras, Greece.
  • Yoma Becerra, N., Molina, C., Huenupán, F., Inzunza, J., 2005. Combining word feature with Bayes-based confidence measure in speech recognition. In Proceedings of 10th International Conference on Speech and Computer (SPECOM 2005). Patras, Greece.

2004

  • Yoma Becerra, N., Brito, I., Molina, C., 2004. The stochastic weighted Viterbi algorithm: a frame work to compensate additive noise and low-bit rate coding distortion. In Proceedings of Interspeech 2004, 8th International Conference on Spoken Language Processing (ICSLP 2004). Jeju Island, Korea. [pdf]
  • Brito, I., Yoma Becerra, N., Molina, C., 2004. Feature-dependent compensation in speech recognition. In Proceedings of Interspeech 2004, 8th International Conference on Spoken Language Processing (ICSLP 2004). Jeju Island, Korea. [pdf]

2003

  • Yoma Becerra, N., Brito, I., Silva, J., 2003. Language model accuracy and uncertainty in noise cancelling in the stochastic weighted Viterbi algorithm. In Proceedings of 8th European Conference on Speech Communication and Technology (Eurospeech 2003), Interspeech 2003. 2193-2196. Geneva, Switzerland. [pdf]

2002

  • Yoma Becerra, N., Hood, J., Busso, C., 2002. On Integrating TCP and UDP applications on the Internet. International Conferences ITS 2002, Natal, Brazil. [pdf]
  • Yoma Becerra, N., Cortés, A., Hormazábal, M., López, E., 2002. Wizard of Oz evaluation of a dialogue with communicator system in Chile. In Proceedings of International Conference on Spoken Language Processing 7th, International Conference on Spoken Language Processing. Denver, Colorado, USA. [pdf]

2001

  • Yoma Becerra, N., Silva, J., 2001. Speaker adaptation of output probabilities and state duration distributions for speech recognition. In Proceedings of European Conference on Speech Communication and Technology (Eurospeech 2001), 2nd Interspeech Event. 1257-1260. Aalborg, Denmark. [pdf]
  • Yoma Becerra, N., Villar, M., 2001. Additive and convolutional noise canceling in speaker verification using a stochastic weighted Viterbi algorithm. In Proceedings of International Conference Eurospeech 2001, 2nd Interspeech Event. 2845-2848. Aalborg, Denmark. [pdf]

2000

  • Yoma Becerra, N., Pegoraro, T. F., 2000. Robust speaker verification with temporal restrictions. In Proceedings of Sixth International Conference on Spoken Language Processing ICSLP 2000. Beijing, China. [pdf]
  • Néstor Becerra Yoma. “Speaker-dependent temporal constraints combined with speaker-independent HMM”. In Proceedings of Sixth International Conference on Spoken Language Processing ICSLP 2000. 526-529. Beijing, China. [pdf]

1999

  • Yoma Becerra, N., Ling, L. L., Stump, S. D., 1999. Temporal constraints in Viterbi alignment for speech recognition in noise. In Proceedings of Sixth European Conference on Speech Communication and Technology (Eurospeech 1999). 2861-2864. Budapest, Hungary. [pdf]
  • Yoma Becerra, N., Ling, L. L., Stump, S. D., 1999. Robust connected word speech recognition using weighted Viterbi algorithm and context-dependent temporal constraints. In Proceedings of Sixth European Conference on Speech Communication and Technology (Eurospeech 1999). 2869-2872 . Budapest, Hungary. [pdf]

1998

  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1998. Weighted Viterbi algorithm and state duration modeling for speech recognition in noise. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 1998). 709-712. Seattle, WA.

1997

  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1997. Weighted matching algorithms and reliability in noise canceling by spectral subtraction. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 1997). 1171-1174. Seattle, WA.
  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1997. Spectral subtraction and mean normalization in the context of weighted matching algorithms. In Proceedings of European Conference on Speech Communication and Technology (Eurospeech 1997). 1411-1414. Rhodes, Greece. [pdf]

1996

  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1996. Use of a reliability coefficient in noise canceling by neural net and weighted matching algorithms. In Proceedings of International Conference for Spoken Language Processing (ICSLP 1996). 2297-2300. Philadelphia, PA, USA. [pdf]
  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1996. Robust speech pulse detection using adaptive noise modeling and non-stationarity measure. In Proceedings of IEEE International Workshop on Interactive Voice technology for Telecommunications Applications (IVTTA 1996). 69-72. Basking Ridge, New Jersey, USA.

1995

  • Yoma Becerra, N., McInnes, F. R., Jack, M., 1995. Improved algorithms for speech recognition in noise using lateral inhibition and SNR weighting. In Proceedings of European Conference on Speech Communication and Technology (Eurospeech 1995). 461-464. Madrid, Spain. [pdf]

Book Chapters

  • Yoma Becerra, N., Molina, C., Garretón C., Huenupán F., 2007. Uncertainty in signal estimation and stochastic weighted Viterbi algorithm: A unified framework to address robustness in speech recognition and speaker verification. In: International Journal of Advanced Robotic Systems, Speech Recognition and Synthesis (Vedran Kordic, ed.), chapter 12. [pdf]

Doctoral Thesis

  • Arias, J. P., 2013. Evaluación automática de prosodia con aplicaciones en enseñanza de idiomas y detección de emociones. Departamento de Ingeniería Eléctrica, Universidad de Chile. [pdf]
  • Garretón, C., 2011. Robustez a la variabilidad de canal en reconocimiento de patrones acústicos con aplicaciones en enseñanza de idiomas y biometría. Departamento de Ingeniería Eléctrica, Universidad de Chile. [pdf]
  • Huenupán, F., 2010. Fusión de múltiples clasificadores en verificación de locutor. Departamento de Ingeniería Eléctrica, Universidad de Chile. [pdf]
  • Molina, C., 2010. Investigación en tecnología de reconocimiento de voz aplicada a enseñanza de segundo idioma con adaptación y cancelación no-supervisada de ruido. Departamento de Ingeniería Eléctrica, Universidad de Chile. Marzo 2006/Marzo 2010. [pdf]

Master of Science Thesis

  • Benavides, L., 2011. Evaluación automática de pronunciación de frases para hablantes no nativos. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Garretón, C., 2007. Compensación no supervisada de variabilidad intra-locutor y ruido en reconocimiento de patrones de voz. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Molina, C., 2005. Compensación dependiente de parámetros en reconocimiento de voz con señales distorsionadas por codificación”. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Busso, C., 2003. Transmisión de voz sobre IP con protocolo basado en el algoritmo LMS. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Pegoraro, T. F., 2000. Algoritmos robustos de reconocimiento de voz aplicados a verificación de locutor. Facultad de Ingeniería Eléctrica y de Computación, UNICAMP, Brasil.

Bachelor’s Thesis

  • Olivares, J., 2013. Plataforma de aprendizaje de segundo idioma con ASR. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Herrada, A., 2011. Desarrollo de aplicación remota de biometría por voz para telefonía celular. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Catalán, I., 2011. Robustez a variabilidad de locutor en reconocimiento de voz con VTLN. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Ramírez, A., 2011. Evaluación automática de habilidad lectora con tecnología de voz. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Torres, M., 2009. Robustez a efectos de canal en verificación de locutor. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Robles, I., 2009. Estimación de la curva de entonación para aprendizaje de segundo idioma. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Jesam, A., 2009. Implementación de una plataforma sobre IP utilizando freeswitch como testbed para tecnología por voz. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Ravest, P., 2009. Aplicación de tecnologías de robustez en reconocimiento de voz a la enseñanza de segundo idioma. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Lagos, C., 2007. Implementación y desarrollo de un servicio telefónico con huella de voz. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Wuth, J., 2007. Desarrollo de Aplicación de reconocimiento de voz para telefonía celular. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Maldonado, S., 2005. Aplicación de técnicas de procesamiento de voz a la enseñanza de Inglés. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Seguel, P., 2004. Implementación de diálogos conversacionales con Galaxy II para acceso a información en Internet. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Aguayo, P., 2004. Acceso a datos en Internet vía sistemas de diálogos conversacionales. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Brito, I., 2002. Compensación de ruido en reconocimiento de voz usando algoritmo estocástico ponderado de Viterbi. Departamento de Ingeniería Eléctrica.
  • Cordero, R., 2003. Implementación y evaluación de aplicación multimedial en redes inalámbricas 2.5G. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Figueroa, D., 2003. Medición de calidad de servicio en redes inalámbricas 2.5G. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Rivera, M., 2002. Estudio de accesos a Internet inalámbrica en 2.5G y su evolución en el mercado chileno. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Fuente, C., 2003. Prototipo de sistema de reconocimiento de voz para arquitectura Galaxy II. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Garrido, P., 2003. Implementación y análisis de calidad de servicio de una red óptica”. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Henry, R., 2002. Desarrollo de diálogos conversacionales utilizando el sistema communicator. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Sepúlveda, C., 2002. Análisis y modelamiento de parámetros de calidad de servicio de acceso a Internet por terminales inalámbricos. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Elizondo, E., 2002. Implementación de un sistema reconocedor de voz en tiempo real. Departamento de Ingeniería Eléctrica, Universidad de Chile. Agosto 2001/Septiembre 2002.
  • Cortés, A., 2002. Desarrollo de metodología de ‘Wizard of Oz’ usando el CU Communicator. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Castillo, M., 2001. Sistema de monitoreo para servicios de acceso de un ISP. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • López, E., 2001. Desarrollo de un sistema de interacción conversacional hombre-máquina utilizando el sistema Communicator. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Hood, J., 2001. Estimación y modelamiento del ancho de banda en conexiones de Internet. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Hormazábal, M., 2001. Síntesis de voz para sistemas de interacción hombre-máquina. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Silva, J., 2001. Adaptación a Locutor de las Restricciones Temporales en Modelamiento Markoviano para Reconocimiento de Voz. Departamento de Ingeniería Eléctrica, Universidad de Chile.
  • Martínez, R., 2001. Modelamiento, simulación y evaluación de técnica de calidad de servicio en enrutamiento IP. Departamento de Ingeniería Eléctrica, Universidad de Chile. Marzo 2001/Diciembre 2001.
  • Villar, M., 2001. Verificación de locutor en ruido con algoritmo ponderado de Viterbi. Departamento de Ingeniería Eléctrica, Universidad de Chile. Agosto 2000/Julio 2001.
  • Aracena, M., 2001. Reverse water-filling en codificación de voz en banda ancha. Departamento de Ingeniería Eléctrica, Universidad de Chile. Marzo 2001/Diciembre 2001.