Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior

Feb 06, 2020
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu

* To appear in ICASSP 2020 

  Access Model/Code and Paper
Speech Recognition with Augmented Synthesized Speech

Sep 25, 2019
Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Ye Jia, Pedro Moreno, Yonghui Wu, Zelin Wu

* Accepted for publication at ASRU 2020 

  Access Model/Code and Paper
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Jul 24, 2019
Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, RJ Skerry-Ryan, Ye Jia, Andrew Rosenberg, Bhuvana Ramabhadran

* 5 pages, submitted to Interspeech 2019 

  Access Model/Code and Paper
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition

Feb 07, 2018
Xuesong Yang, Kartik Audhkhasi, Andrew Rosenberg, Samuel Thomas, Bhuvana Ramabhadran, Mark Hasegawa-Johnson

* Accepted in The 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018) 

  Access Model/Code and Paper
End-to-End ASR-free Keyword Search from Speech

Jan 13, 2017
Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury

* Published in the IEEE 2017 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), scheduled for 5-9 March 2017 in New Orleans, Louisiana, USA 

  Access Model/Code and Paper
Visual and semantic interpretability of projections of high dimensional data for classification tasks

May 22, 2012
Ilknur Icke, Andrew Rosenberg

* Longer version of the VAST 2011 poster. 

  Access Model/Code and Paper
Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling

Oct 10, 2010
Ilknur Icke, Andrew Rosenberg

* Submitted to the New York Academy of Sciences, 5th Annual Machine Learning Symposium 

  Access Model/Code and Paper