Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (ICML, 2017)

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. - Sercan Ömer Arik; Markus Kliegl; Rewon Child; Joel Hestness; Andrew Gibiansky; Christopher Fougner; Ryan Prenger; Adam Coates 002 (INTERSPEECH, 2017)

Deep Voice 2: Multi-Speaker Neural Text-to-Speech. - Andrew Gibiansky; Sercan Ömer Arik; Gregory Frederick Diamos; John Miller 001; Kainan Peng; Wei Ping; Jonathan Raiman; Yanqi Zhou (NIPS, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (CoRR, 2017)

Deep Voice 3: 2000-Speaker Neural Text-to-Speech. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (CoRR, 2017)

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (ICLR (Poster), 2018)

Improving Polyglot Speech Synthesis through Multi-task and Adversarial Learning. - Jason Fong; Jilong Wu; Prabhav Agrawal; Andrew Gibiansky; Thilo Köhler; Qing He (SSW, 2021)

Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. - Ehab A. AlBadawy; Andrew Gibiansky; Qing He; Jilong Wu; Ming-Ching Chang; Siwei Lyu (ICASSP, 2022)