Coupling Pattern Recognition and Signal Processing
Ahmed Hussen Abdelaziz,
Institut für Kommunikationsakustik, Ruhr-Universität Bochum –
Signal processing and pattern recognition are often treated as separate problems. However, tight coupling between them can yield a significantly improved performance in both of these tasks. In this talk, we will introduce two new approaches for such a stronger coupling, providing more precise input from signal processing to pattern recognition and vice versa. We start with coupling pattern recognition models with signal processing algorithms using a new statistical model, called the twin hidden Markov model (THMM), for speech enhancement. By using the THMM, hidden Markov models HMMs can be exploited to enhance speech signals in a recognize-and-synthesize scheme by using the most appropriate features in both recognition and synthesis. After that, we introduce a new approach for coupling signal processing with pattern recognition, called significance decoding (SD). The SD approach is a new uncertainty-of-observation technique that deploys the features uncertainties estimated by the signal processing algorithm to improve the recognition accuracy of automatic speech recognition under tough environmental conditions. Finally, we combine these two schemes in the context of audio-visual speech recognition in order to enhance its performance in very noisy environments.
Date: 2013-Jul-19 Time: 15:00:00 Room: 020
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.