Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures. - Eric Battenberg; David Wessel (ISMIR, 2009)

Advances In The Parallelization Of Music And Audio Applications. - Eric Battenberg; Adrian Freed; David Wessel (ICMC, 2010)

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 (ICMC, 2011)

Analyzing Drum Patterns Using Conditional Deep Belief Networks. - Eric Battenberg; David Wessel (ISMIR, 2012)

Techniques for Machine Understanding of Live Drum Performances. - Eric Battenberg (2012)

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)

librosa: Audio and Music Signal Analysis in Python. - Brian McFee; Colin Raffel; Dawen Liang; Daniel P. W. Ellis; Matt McVicar; Eric Battenberg; Oriol Nieto (SciPy, 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 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

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 002; Greg Diamos; et al. (ICML, 2016)

Exploring neural transducers for end-to-end speech recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; Anuroop Sriram; Zhenyao Zhu (ASRU, 2017)

Exploring Neural Transducers for End-to-End Speech Recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; David Seetapun; Anuroop Sriram; Zhenyao Zhu (CoRR, 2017)

Reducing Bias in Production Speech Models. - Eric Battenberg; Rewon Child; Adam Coates 002; Christopher Fougner; Yashesh Gaur; Jiaji Huang; Heewoo Jun; Ajay Kannan; Markus Kliegl; Atul Kumar; Hairong Liu; Vinay Rao; et al. (CoRR, 2017)

Uncovering Latent Style Factors for Expressive Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Ying Xiao; Daisy Stanton; Joel Shor; Eric Battenberg; Rob Clark; Rif A. Saurous (CoRR, 2017)

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. - R. J. Skerry-Ryan; Eric Battenberg; Ying Xiao; Yuxuan Wang 002; Daisy Stanton; Joel Shor; Ron J. Weiss; Rob Clark; Rif A. Saurous (ICML, 2018)

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. - Yuxuan Wang 002; Daisy Stanton; Yu Zhang 033; R. J. Skerry-Ryan; Eric Battenberg; Joel Shor; Ying Xiao; Ye Jia; Fei Ren; Rif A. Saurous (ICML, 2018)

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)

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 (ICASSP, 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 (ICLR, 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)

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 (ICASSP, 2021)

Speaker Generation. - Daisy Stanton; Matt Shannon; Soroosh Mariooryad; R. J. Skerry-Ryan; Eric Battenberg; Tom Bagby; David Kao (ICASSP, 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)

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)

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 (NAACL (Long Papers), 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, 2025)