A Systematic Comparison of Phrase Table Pruning Techniques. - Richard Zens; Daisy Stanton; Peng Xu (EMNLP-CoNLL, 2012)

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. - Zhenzhen Kou; Daisy Stanton; Fuchun Peng; Françoise Beaufays; Trevor Strohman (ICASSP, 2015)

Tacotron: Towards End-to-End Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; et al. (INTERSPEECH, 2017)

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; 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)

Predicting Expressive Speaking Style from Text in End-To-End Speech Synthesis. - Daisy Stanton; Yuxuan Wang 002; R. J. Skerry-Ryan (SLT, 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)

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)