Matt Shannon

Matt Shannon

Researcher in speech synthesis, speech recognition, generative modeling, machine learning.

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Generative semi-supervised learning with a neural seq2seq noisy channel
Soroosh Mariooryad
Matt Shannon
Siyuan Ma
Tom Bagby
David Kao
Daisy Stanton
Eric Battenberg
RJ Skerry-Ryan
ICML Workshop on Structured Probabilistic Inference (2023)
Speaker Generation
Daisy Stanton
David Teh-Hwa Kao
Eric Battenberg
Matt Shannon
RJ Skerry-Ryan
Soroosh Mariooryad
Tom Bagby
ICASSP (2022)
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
Eric Battenberg
RJ Skerry-Ryan
Soroosh Mariooryad
Daisy Stanton
David Kao
Matt Shannon
Tom Bagby
ICASSP (2020)
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
Eric Battenberg
Soroosh Mariooryad
Daisy Stanton
RJ Skerry-Ryan
Matt Shannon
David Kao
Tom Bagby
arXiv (2019)
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Raza Habib
Soroosh Mariooryad
Matt Shannon
Eric Battenberg
RJ Skerry-Ryan
Daisy Stanton
David Kao
Tom Bagby
ICLR (2019)
Optimizing expected word error rate via sampling for speech recognition
Matt Shannon
Proc. Interspeech 2017 (2017) (to appear)
Improved end-of-query detection for streaming speech recognition
Matt Shannon
Gabor Simko
Shuo-yiin Chang
Carolina Parada
Proc. Interspeech 2017 (2017)
Acoustic Modeling for Google Home
Bo Li
Tara Sainath
Arun Narayanan
Joe Caroselli
Michiel Bacchiani
Ananya Misra
Izhak Shafran
Hasim Sak
Golan Pundak
Kean Chin
Khe Chai Sim
Ron J. Weiss
Kevin Wilson
Ehsan Variani
Chanwoo Kim
Olivier Siohan
Mitchel Weintraub
Erik McDermott
Rick Rose
Matt Shannon
INTERSPEECH 2017 (2017)
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