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Speech-Based Emotion Recognition with Christina Brester

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20 March 2015



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In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.

 

Christina Brester

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Christina Brester completed her bachelor’s (2012) and master’s degree (2014) at the Siberian State Aerospace University (SibSAU) in Krasnoyarsk, Russia. Her master’s thesis was on Speech-based Emotion Recognition.

Currently, Brester is a PhD student in Computer Science and Engineering at SibSAU. Her research interests include evolutionary computation, neuro-evolutionary algorithms, machine learning, and speech analysis.

 

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Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast
Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast





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