[Talks@IDSIA] Research talk by Kazuki Irie

Dear all, You are cordially invited to attend the following talk by our Postdoc candidate Kazuki Irie, which will take place tomorrow at 11:45 in room 222 at IDSIA. Please find additional details below. Kind Regards, Sjoerd van Steenkiste -------------------------------------------------------------------------------------------------------------------- *Title: Recent Advances in Neural Language Modeling for Automatic Speech Recognition *Abstract: In this talk, I will shortly present two of my recent works on language modeling for automatic speech recognition. The first work is the application of large Transformer language models (recently popularized by OpenAI's GPT-2 models) to automatic speech recognition. We successfully trained deep and powerful Transformer language models and obtained an excellent performance on the publicly available LibriSpeech dataset (where our results currently mark the state of the art). In the second part, I will present a large mixture of LSTM language models and its application to real application scenarios where the data domain is diverse, as is the case for our experiments on the YouTube speech recognition dataset. *Speaker: Kazuki Irie is a PhD student in the Human Language Technology Group at RWTH Aachen University, Germany, under the supervision of Prof. Hermann Ney, since May 2014. Prior to that, he received a Diplôme d'ingénieur degree from École Centrale Paris, France, and jointly a Master degree (Master MVA) from ENS Cachan, France, both in Applied Mathematics in 2013. His PhD research is focused on advancing language modeling for its applications to speech recognition (and machine translation). He is broadly interested in RNN, language, and related methods. *Date: Tuesday, 8 October 2019, 11:45-12:30 *Location: Manno, Galleria 1, 2nd floor, room 222.