Michael Riley
Michael Riley has a B.S., M.S., and Ph.D. from MIT, all in computer science. He began his career at Bell Labs and AT&T Labs where he, together with Mehryar Mohri and Fernando Pereira, introduced and developed the theory and use of weighted finite-state transducers (WFSTs) in speech and language. He is currently distinguished research scientist at Google, Inc. His interests include speech and natural language processing, machine learning, and information retrieval. He is a principal author of the OpenFst library He manages a group with expertise that includes speech recognition and synthesis, NLP, information retrieval, image processing, algorithms, machine learning and privacy. He is an IEEE and ISCA Fellow.
Authored Publications
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On Weight Interpolation of the Hybrid Autoregressive Transducer Model
David Rybach
Interspeech 2022, Interspeech 2022 (2022) (to appear)
Approximating probabilistic models as weighted finite automata
Vlad Schogol
Computational Linguistics, 47 (2021), pp. 221-254
An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling
Rami Botros
Ruoming Pang
David Johannes Rybach
James Qin
Quoc-Nam Le-The
Anmol Gulati
Cal Peyser
Chung-Cheng Chiu
Emmanuel Guzman
Jiahui Yu
Qiao Liang
Wei Li
Yonghui Wu
Yu Zhang
Interspeech (2021) (to appear)
Hybrid Autoregressive Transducer (HAT)
David Rybach
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, pp. 6139-6143
Latin script keyboards for South Asian languages with finite-state normalization
Vlad Schogol
Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing, Association for Computational Linguistics, Dresden, Germany (2019), pp. 108-117
Distilling weighted finite automata from arbitrary probabilistic models
Vlad Schogol
Proceedings of FSMNLP (2019), pp. 87-97
Federated Learning of N-gram Language Models
Adeline Wong
The SIGNLL Conference on Computational Natural Language Learning (2019)
Algorithms for Weighted Finite Automata with Failure Transitions
International Conference of Implementation and Applications of Automata (CIAA) (2018), pp. 46-58
Semantic Lattice Processing in Contextual Automatic Speech Recognition for Google Assistant
Ian Williams
Justin Scheiner
Pedro Moreno
Interspeech 2018, ISCA (2018), pp. 2222-2226
