Matt Shannon

According to our database, Matt Shannon authored at least 23 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy.

R. J. Skerry-Ryan, Julian Salazar, Soroosh Mariooryad, David Kao, Daisy Stanton, Eric Battenberg, Matt Shannon, Ron J. Weiss, Robin Scheibler, Jonas Rothfuss, Tom Bagby

CoRR, July, 2025

Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech.

Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Kao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Very Attentive Tacotron: Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech.

Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Kao

CoRR, 2024

2022

Learning the joint distribution of two sequences using little or no paired data.

Soroosh Mariooryad, Matt Shannon, Siyuan Ma, Tom Bagby, David Kao, Daisy Stanton, Eric Battenberg, R. J. Skerry-Ryan

CoRR, 2022

Global Normalization for Streaming Speech Recognition in a Modular Framework.

Ehsan Variani, Ke Wu, Michael D. Riley, David Rybach, Matt Shannon, Cyril Allauzen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Speaker Generation.

Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Non-saturating GAN training as divergence minimization.

Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, R. J. Skerry-Ryan

CoRR, 2020

Properties of f-divergences and f-GAN training.

Matt Shannon

CoRR, 2020

Semi-Supervised Generative Modeling for Controllable Speech Synthesis.

Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby

Proceedings of the 8th International Conference on Learning Representations, 2020

Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis.

Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis.

Eric Battenberg, Soroosh Mariooryad, Daisy Stanton, R. J. Skerry-Ryan, Matt Shannon, David Kao, Tom Bagby

CoRR, 2019

2017

Improved End-of-Query Detection for Streaming Speech Recognition.

Matt Shannon, Gabor Simko, Shuo-Yiin Chang, Carolina Parada

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Optimizing Expected Word Error Rate via Sampling for Speech Recognition.

Matt Shannon

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.

Hasim Sak, Matt Shannon, Kanishka Rao, Françoise Beaufays

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Acoustic Modeling for Google Home.

Bo Li, Tara N. Sainath, Arun Narayanan, Joe Caroselli, Michiel Bacchiani, Ananya Misra, Izhak Shafran, Hasim Sak, Golan Pundak, Kean K. Chin, Khe Chai Sim, Ron J. Weiss, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2014

Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech.

Gustav Eje Henter, Thomas Merritt, Matt Shannon, Catherine Mayo, Simon King

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013

Autoregressive Models for Statistical Parametric Speech Synthesis.

Matt Shannon, Heiga Zen, William Byrne

IEEE Trans. Speech Audio Process., 2013

Fast, low-artifact speech synthesis considering global variance.

Matt Shannon, William Byrne

Proceedings of the IEEE International Conference on Acoustics, 2013

2011

The Effect of Using Normalized Models in Statistical Speech Synthesis.

Matt Shannon, Heiga Zen, William J. Byrne

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project.

Mirjam Wester, John Dines, Matthew Gibson, Hui Liang, Yi-Jian Wu, Lakshmi Babu Saheer, Simon King, Keiichiro Oura, Philip N. Garner, William Byrne, Yong Guan, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo, Matt Shannon, Sayaka Shiota, Jilei Tian, Keiichi Tokuda, Junichi Yamagishi

Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

Autoregressive clustering for HMM speech synthesis.

Matt Shannon, William Byrne

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Personalising Speech-To-Speech Translation in the EMIME Project.

Mikko Kurimo, William Byrne, John Dines, Philip N. Garner, Matthew Gibson, Yong Guan, Teemu Hirsimäki, Reima Karhila, Simon King, Hui Liang, Keiichiro Oura, Lakshmi Babu Saheer, Matt Shannon, Sayaka Shiota, Jilei Tian

Proceedings of the ACL 2010, 2010

2009

Autoregressive HMMs for speech synthesis.

Matt Shannon, William Byrne

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009