Andrew Gibiansky

According to our database, Andrew Gibiansky authored at least 8 papers between 2017 and 2022.

Collaborative distances:

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

2022

Vocbench: A Neural Vocoder Benchmark for Speech Synthesis.

Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Improving Polyglot Speech Synthesis through Multi-task and Adversarial Learning.

Jason Fong, Jilong Wu, Prabhav Agrawal, Andrew Gibiansky, Thilo Köhler, Qing He

Proceedings of the 11th ISCA Speech Synthesis Workshop, 2021

2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

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

CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

CoRR, 2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech.

Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

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

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

Proceedings of the 34th International Conference on Machine Learning, 2017