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The Cognitive Science & Artificial Intelligence department at Tilburg University invites applications for one fully-funded PhD position in the area of language and speech technologies. This position is embedded within the NWO-funded project “InDeep: Interpreting deep learning models for language, speech & music” in collaboration with several universities and companies in the Netherlands. The project consortium brings together a number of pioneering experts in the field of interpretability (https://interpretingdl.github.io) and aims at bridging the gap between the latest academic advances and societal/industrial users of deep learning models at large.
The PhD candidate will work on a project on the development of analysis and control techniques for deep-learning based speech processing models, led by Dr. Grzegorz Chrupała.
The projects will combine ideas, methods and data from Speech Recognition, Natural Language Processing, and Machine Learning.
Project description: Speech processing is increasingly done via end-to-end rather than modular models: this makes is hard to understand what is causing the model’s decisions in general and specifically why it fails when it does. Given the opacity of such end-to-end models, it is desirable to develop and test methods for analyzing the intermediate representations they learn, and interpreting the decisions they make. The objective of this project is to develop and test methods for manipulating intermediate representations learned by end-to-end speech-understanding models in order to make it possible for users to debug them, to control them, and explain their output. The models of interest include, among others, automatic speech recognition, visually grounded models of spoken language and spoken language translation systems.
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