J
Jan Chorowski
Researcher at University of Wrocław
Publications - 62
Citations - 11767
Jan Chorowski is an academic researcher from University of Wrocław. The author has contributed to research in topics: Artificial neural network & Language model. The author has an hindex of 23, co-authored 60 publications receiving 9924 citations. Previous affiliations of Jan Chorowski include University of Louisville & Google.
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Theano: A Python framework for fast computation of mathematical expressions
Rami Al-Rfou,Guillaume Alain,Amjad Almahairi,Christof Angermueller,Dzmitry Bahdanau,Nicolas Ballas,Frédéric Bastien,Justin Bayer,Anatoly Belikov,Alexander Belopolsky,Yoshua Bengio,Arnaud Bergeron,James Bergstra,Valentin Bisson,Josh Bleecher Snyder,Nicolas Bouchard,Nicolas Boulanger-Lewandowski,Xavier Bouthillier,Alexandre de Brébisson,Olivier Breuleux,Pierre Luc Carrier,Kyunghyun Cho,Jan Chorowski,Paul F. Christiano,Tim Cooijmans,Marc-Alexandre Côté,Myriam Côté,Aaron Courville,Yann N. Dauphin,Olivier Delalleau,Julien Demouth,Guillaume Desjardins,Sander Dieleman,Laurent Dinh,Mélanie Ducoffe,Vincent Dumoulin,Samira Ebrahimi Kahou,Dumitru Erhan,Ziye Fan,Orhan Firat,Mathieu Germain,Xavier Glorot,Ian Goodfellow,Matthew M. Graham,Caglar Gulcehre,Philippe Hamel,Iban Harlouchet,Jean-Philippe Heng,Balázs Hidasi,Sina Honari,Arjun Jain,Sébastien Jean,Kai Jia,Mikhail Korobov,Vivek Kulkarni,Alex Lamb,Pascal Lamblin,Eric Larsen,César Laurent,Sean Lee,Simon Lefrancois,Simon Lemieux,Nicholas Léonard,Zhouhan Lin,Jesse A. Livezey,Cory Lorenz,Jeremiah Lowin,Qianli Ma,Pierre-Antoine Manzagol,Olivier Mastropietro,Robert T. McGibbon,Roland Memisevic,Bart van Merriënboer,Vincent Michalski,Mehdi Mirza,Alberto Orlandi,Chris Pal,Razvan Pascanu,Mohammad Pezeshki,Colin Raffel,Daniel Renshaw,Matthew Rocklin,Adriana Romero,Markus Roth,Peter Sadowski,John Salvatier,François Savard,Jan Schlüter,John Schulman,Gabriel Schwartz,Iulian Vlad Serban,Dmitriy Serdyuk,Samira Shabanian,Étienne Simon,Sigurd Spieckermann,S. Ramana Subramanyam,Jakub Sygnowski,Jérémie Tanguay,Gijs van Tulder,Joseph Turian,Sebastian Urban,Pascal Vincent,Francesco Visin,Harm de Vries,David Warde-Farley,Dustin J. Webb,Matthew Willson,Kelvin Xu,Lijun Xue,Li Yao,Saizheng Zhang,Ying Zhang +111 more
TL;DR: The performance of Theano is compared against Torch7 and TensorFlow on several machine learning models and recently-introduced functionalities and improvements are discussed.
Proceedings Article
Attention-based models for speech recognition
TL;DR: The authors proposed a location-aware attention mechanism for the TIMET phoneme recognition task, which achieved an improved 18.7% phoneme error rate (PER) on utterances which are roughly as long as the ones it was trained on.
Posted Content
Attention-Based Models for Speech Recognition
TL;DR: The attention-mechanism is extended with features needed for speech recognition and a novel and generic method of adding location-awareness to the attention mechanism is proposed to alleviate the issue of high phoneme error rate.
Proceedings ArticleDOI
End-to-end attention-based large vocabulary speech recognition
TL;DR: This work investigates an alternative method for sequence modelling based on an attention mechanism that allows a Recurrent Neural Network (RNN) to learn alignments between sequences of input frames and output labels.
Proceedings ArticleDOI
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models
Chung-Cheng Chiu,Tara N. Sainath,Yonghui Wu,Rohit Prabhavalkar,Patrick Nguyen,Zhifeng Chen,Anjuli Kannan,Ron Weiss,Kanishka Rao,Ekaterina Gonina,Navdeep Jaitly,Bo Li,Jan Chorowski,Michiel Bacchiani +13 more
TL;DR: In this article, the authors explore a variety of structural and optimization improvements to the Listen, Attend, and Spell (LAS) encoder-decoder architecture, which significantly improves performance.