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Tilburg center for Cognition and Communication (TiCC)

We study how people communicate with each other and how computer systems can be taught to communicate with us.


TiCC Colloquium: Odette Scharenborg

What: Computational modelling of human spoken-word recognition
Where: CZ 005
When: Wednesday, 14 March 2018, 12:45 - 13:45 hours


Computational modelling has proven to be a valuable approach in developing theories of spoken-word processing. However, computational models tend to focus on only particular aspects of the spoken-word recognition process. I will start this talk discussing the value of computational modelling in spoken-word recognition and I will present a brief history of the most influential models of spoken-word recognition. Subsequently, I will present two of my computational models. The first model is the speech-based model Fine-Tracker. Fine-Tracker was specifically developed to account for the accumulating evidence that subtle phonetic detail in the speech signal is important in human spoken-word recognition. The second model is based on a deep neural net autoencoder and was developed to account for the effects of the presence of background noise on native and non-native spoken-word recognition. I will explain the global workings of the models, and will illustrate the model's modelling ability by presenting several simulation studies, moreover I will explain how these models advanced the theory of human spoken-word recognition.

About Odette Scharenborg

Odette Scharenborg (PhD) was an associate professor at the Centre for Language Studies, Radboud University Nijmegen, The Netherlands, and a research fellow at the Donders Institute for Brain, Cognition and Behavior at the same university. Her research interests focus on narrowing the gap between automatic and human spoken-word recognition. Particularly, she is interested in the question where the difference between human and machine recognition performance originates, and whether it is possible to narrow this difference. She investigates these questions using a combination of computational modelling, machine learning, and behavioral experimentation.

In 2008, she co-organized the Interspeech 2008 Consonant Challenge, which aimed at promoting comparisons of human and machine speech recognition in noise in order to investigate where the human advantage in word recognition originates. She was one of the initiators of the EU Marie Curie Initial Training Network "Investigating Speech Processing In Realistic Environments" (INSPIRE, 2012-2015). In 2017, she co-organized a 6-week Frederick Jelinek Memorial Summer Workshop on Speech and Language Technology on the topic of the automatic discovery of grounded linguistic units for languages without orthography. In 2017 she was elected on the board of the International Speech Communication Association (ISCA). She recently finished her 5-year (Vidi) project funded by the Netherlands Organization for Scientific Research on the topic of non-native spoken-word recognition in noise.


When: 14 March 2018 12:45

End date: 14 March 2018 13:45