Kyle Kastner

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Distributed Representations

Speech Synthesis

Top Venues

ICLR (Workshop)

Publications

Christopher Li, Gary Wang, Kyle Kastner, Heng Su, Allen Chen, Andrew Rosenberg, Zhehuai Chen, Zelin Wu, Leonid Velikovich, Pat Rondon, Diamantino Caseiro, Petar S. Aleksic
High-precision Voice Search Query Correction via Retrievable Speech-text Embedings. CoRR (2024)
Takaaki Saeki, Gary Wang, Nobuyuki Morioka, Isaac Elias, Kyle Kastner, Andrew Rosenberg, Bhuvana Ramabhadran, Heiga Zen, Françoise Beaufays, Hadar Shemtov
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. ICASSP (2024)
Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. CoRR (2024)
Takaaki Saeki, Gary Wang, Nobuyuki Morioka, Isaac Elias, Kyle Kastner, Andrew Rosenberg, Bhuvana Ramabhadran, Heiga Zen, Françoise Beaufays, Hadar Shemtov
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. CoRR (2024)
Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang
Understanding Shared Speech-Text Representations. ICASSP (2023)
Kyle Kastner, Tim Cooijmans, Yusong Wu, Aaron C. Courville
SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders. EvoMUSART@EvoStar (2023)
Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang
Understanding Shared Speech-Text Representations. CoRR (2023)
Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. ICLR (2022)
Kyle Kastner, Aaron C. Courville
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS. CoRR (2022)
Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. CoRR (2021)
Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron C. Courville
Representation Mixing for TTS Synthesis. ICASSP (2019)
Johanna Hansen, Kyle Kastner, Aaron C. Courville, Gregory Dudek
Planning in Dynamic Environments with Conditional Autoregressive Models. CoRR (2018)
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville
Learning Distributed Representations from Reviews for Collaborative Filtering. CoRR (2018)
Kyle Kastner, Rithesh Kumar, Tim Cooijmans, Aaron C. Courville
Harmonic Recomposition using Conditional Autoregressive Modeling. CoRR (2018)
Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron C. Courville
Representation Mixing for TTS Synthesis. CoRR (2018)
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron C. Courville
Blindfold Baselines for Embodied QA. CoRR (2018)
Jose Sotelo, Soroush Mehri, Kundan Kumar, João Felipe Santos, Kyle Kastner, Aaron C. Courville, Yoshua Bengio
Char2Wav: End-to-End Speech Synthesis. ICLR (Workshop) (2017)
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko
Learning to Discover Sparse Graphical Models. ICLR (Workshop) (2017)
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko
Learning to Discover Sparse Graphical Models. ICML (2017)
Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops (2016)
Francesco Visin, Kyle Kastner, Aaron C. Courville, Yoshua Bengio, Matteo Matteucci, KyungHyun Cho
ReSeg: A Recurrent Neural Network for Object Segmentation. CoRR (2015)
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville
Learning Distributed Representations from Reviews for Collaborative Filtering. RecSys (2015)
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, Yoshua Bengio
A Recurrent Latent Variable Model for Sequential Data. NIPS (2015)
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, Yoshua Bengio
A Recurrent Latent Variable Model for Sequential Data. CoRR (2015)
Francesco Visin, Kyle Kastner, Kyunghyun Cho, Matteo Matteucci, Aaron C. Courville, Yoshua Bengio
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks. CoRR (2015)