is Associate Professor 3 at Escola Politécnica, University of São Paulo, where he is a member of the Signal Processing Laboratory. He received the E.E. degree from Instituto Tecnológico de Aeronáutica, Brazil, and the M.S., the Dr. and the Habilitation (Livre-Docência) degrees in Electrical Engineering from University of São Paulo, Brazil, in 1992, 1997 and 2006, respectively, and the Electronic Design Eng. degree from Philips International Institute, The Netherlands, in 1981. In 2008 he carried post-doctoral research in time-frequency speech analysis and coding at the Royal Institute of Technology in Stockholm, Sweden. He was Engineering Development Group Leader for Interactive Voice Response Systems (IVRs) for Itautec Informática, Brazil, where he served from 1982 to 1990. He is a Senior Member of the IEEE since 2000, a Member of the Brazilian Telecommunications Society (SBrT). His research interests are in Signal Processing and Machine Learning, including signal compression, speech analysis, coding and recognition, audio analysis and coding and linear prediction, vector quantization and density mixture models. https://orcid.org/0000-0002-7107-0888 (Source: Lattes Curriculum)
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This research plan addresses temporal and spatial signals such as speech, audio and images to be processed for learning features based on differentiable losses or objective functions. In the process, it is important to convert the signals from their original domains to other ones, resulting in spectral and time-frequency representations in order to disclose features that are more signific…
This research plan addresses a common basis for a number of areas in signal processing such as speech analysis, speech coding and audio coding, speech recognition and audio feature recognition as well as source separation with regularizations to carry out adjustments suitable to the desired application. Traditionally, speech analysis, in addition to its own importance, also provides signa…
This research plan addresses themes common to a number of areas in signal processing such as speech analysis, speech coding and audio coding, speech recognition and audio feature recognition and source separation with regularizations to carry out adjustments suitable to the desired application. Speech analysis, in addition to its own importance, also provides signal representations and mo…
We plan to receive Prof. Thippur V. Sreenivas from the Indian Institute of Science as a visiting professor who will advise us on our ongoing research for Research Grant Proc. FAPESP 2012/24789-0 about Analysis of Audio and Speech Signals for Reconstruction and Recognition. The main activities that have been planned include presentations about our ongoing research in analysis and modeling …
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The aim of this project is the enhancement of representations of the speech signal that decompose it into a linear predictive (LP) model and a residual signal in the form of a signal expansion on a warped time scale. The residual representation is continuously scalable in precision and forms an exact waveform description if all components are kept and an efficient parametric description i…
| 1 / 1 | Ongoing research grants |
| 16 / 10 | Completed research grants |
| 9 / 4 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 27 / 16 | All research grants and scholarships |
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