Eric Battenberg

According to our database, Eric Battenberg authored at least 25 papers between 2009 and 2025.

Collaborative distances:

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

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

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

2021

Wave-Tacotron: Spectrogram-Free End-to-End Text-to-Speech Synthesis.

Ron J. Weiss, R. J. Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma

Proceedings of the IEEE International Conference on Acoustics, 2021

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

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

2018

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis.

Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron.

R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Uncovering Latent Style Factors for Expressive Speech Synthesis.

Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous

CoRR, 2017

Reducing Bias in Production Speech Models.

Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Exploring neural transducers for end-to-end speech recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu

CoRR, 2015

librosa: Audio and Music Signal Analysis in Python.

Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto

Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015

2014

Scalable multimedia content analysis on parallel platforms using python.

Ekaterina Gonina, Gerald Friedland, Eric Battenberg, Penporn Koanantakool, Michael B. Driscoll, Evangelos Georganas, Kurt Keutzer

ACM Trans. Multim. Comput. Commun. Appl., 2014

2012

Techniques for Machine Understanding of Live Drum Performances.

Eric Battenberg

PhD thesis, 2012

Analyzing Drum Patterns Using Conditional Deep Belief Networks.

Eric Battenberg, David Wessel

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011

Real-time Musical Applications on an Experimental Operating System for Multi-Core Processors.

Juan A. Colmenares, Ian Saxton, Eric Battenberg, Rimas Avizienis, Nils Peters, Krste Asanovic, John Kubiatowicz, David Wessel

Proceedings of the 2011 International Computer Music Conference, 2011

2010

Advances In The Parallelization Of Music And Audio Applications.

Eric Battenberg, Adrian Freed, David Wessel

Proceedings of the 2010 International Computer Music Conference, 2010

2009

Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures.

Eric Battenberg, David Wessel

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009