Category: Seminars

Language and communication difficulties in children: issues and challenges

Speaker: Agnès Piquard Date and place: March 12, 2020 at 10:30 – C005 Abstract: Some language and communication difficulties such as dyslexia, developmental language disorder (DLD), deafness, can be encountered by children. Those multifaceted difficulties entail severe consequences, mostly in the school system. Because a lot of children cannot overcome their reading difficulties, their opportunities …

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Verbal Multi Word Expressions identification on spoken transcription

Speaker: Nicolas Zampieri Date and Room: January 16, 2020 at 10:30 – C005 Abstract: Recent initiatives such as the PARSEME shared task have allowed the rapid development of Multi Word Eexpressions (MWE) identification systems. Many of those are based on recent NLP advances, using neural sequence models that take continuous word representations as input. We …

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Use of Transfer Learning for Automatic Dietary Monitoring through Throat Microphone Recordings

Speaker: M. A. Tugtekin Turan Date: October 24, 2019 at 10:30 – B013 Abstract: Wearable devices and technologies in healthcare have been accelerating the development and integration of modern engineering approaches. Dietary monitoring is one challenging application among other healthcare services and typically performed over personal recordings. However, manual logging is highly biased and unreliable …

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DeepLearn Lecture Series II

This second episode of the DeepLearn lecture series will feature talks by Sandipana Dowerah on “Speech Recognition and Machine Translation: From Statistical Decison Theory to Machine Learning and DeepNeural Networks” and by Adrien Dufraux on “Maths and Deep Learning”. Date and Room: October 10, 2019 at 10:30 – C005

DeepLearn Lecture Series I

This first instance of our lecture series from the DeepLearn 2019 summer school will feature Nicolas Furnon presenting on “Compressing Neural Networks” and Raphaël Duroselle presenting on “Representation Learning in Limited Data Settings”. Date and Room: September 26, 2019 at 10:30 – C005

Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition

Speaker: Adrien Dufraux Paper by Adrien Dufraux, Emmanuel Vincent, Awni Hannun, Armelle Brun, Matthijs Douze, submitted to ASRU 2019 Date: Sep 05, 2019 at 10:30 – C005 tl;dr: Learn an ASR model from noisy transcriptions. At training time, we search better transcriptions by incorporating a noise model into a differentiable beam search algorithm. Abstract: The transcriptions …

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Introduction of semantic information in speech recognition

Speaker: Stéphane Level Date: September 12, 2019 at 10:30 – C005 Abstract: Automatic Speech Recognition (ASR) is a growing industry. Indeed, there is an increasing demand from the industry for recognition systems or voice commands. The industrial use of this technology requires to have reliable and performing methodology. Current automatic speech recognition systems only use acoustic …

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Upcoming team seminars

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Natural Language Processing: Online hate speech against migrants

Speaker: Ashwin Geet D’Sa Date: August 29, 2019 at 10:30 – C005 Abstract: The spectacular expansion of the Internet led to the development of a new sector in the natural language processing field: automatic Hate Speech detection, as in many countries hate speech is prohibited. There is no clear and formal definition of hate speech, offensive …

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Semi-supervised triplet loss based learning of ambient audio embeddings

Speakers: Nicolas Turpault Date: May 05, 2019 at 10:30 – C005 Abstract: Deep neural networks are particularly useful to learn relevant representations from data. Recent studies have demonstrated the potential of unsupervised representation learning for ambient sound analysis using various flavors of the triplet loss. They have compared this approach to supervised learning. However, in real …

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