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ORCIDKyle Kastner
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2020 – today
- 2024
[c13]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: 11546-11550- [c12]Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang:
Adaptive Accompaniment with ReaLchords. ICML 2024 - [c11]Min Ma, Gary Wang, Kyle Kastner, Isaac Caswell, Charles Yoon, Andrew Rosenberg:
Enhancing Low-Resource Spoken Language Identification Via Cross-Modality Retrieval and Cross-Lingual Text-to-Speech Synthesis. SLT 2024: 1193-1200 - [i16]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 abs/2401.04235 (2024) - [i15]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 abs/2402.18932 (2024) - [i14]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 abs/2407.18879 (2024) - [i13]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:
Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting. CoRR abs/2408.10463 (2024) - [i12]Fadi Biadsy, Youzheng Chen, Isaac Elias, Kyle Kastner, Gary Wang, Andrew Rosenberg, Bhuvana Ramabhadran:
Zero-shot Cross-lingual Voice Transfer for TTS. CoRR abs/2409.13910 (2024) - 2023
- [c10]Kyle Kastner, Tim Cooijmans, Yusong Wu, Aaron C. Courville:
SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders. EvoMUSART@EvoStar 2023: 148-163 - [c9]Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang:
Understanding Shared Speech-Text Representations. ICASSP 2023: 1-5 - [i11]Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang:
Understanding Shared Speech-Text Representations. CoRR abs/2304.14514 (2023) - 2022
- [c8]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 - [i10]Kyle Kastner, Aaron C. Courville:
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS. CoRR abs/2206.15276 (2022) - 2021
- [i9]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 abs/2112.09312 (2021)
2010 – 2019
- 2019
- [c7]Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron C. Courville:
Representation Mixing for TTS Synthesis. ICASSP 2019: 5906-5910 - 2018
- [i8]Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville:
Learning Distributed Representations from Reviews for Collaborative Filtering. CoRR abs/1806.06875 (2018) - [i7]Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron C. Courville:
Blindfold Baselines for Embodied QA. CoRR abs/1811.05013 (2018) - [i6]Kyle Kastner, João Felipe Santos, Yoshua Bengio, Aaron C. Courville:
Representation Mixing for TTS Synthesis. CoRR abs/1811.07240 (2018) - [i5]Kyle Kastner, Rithesh Kumar, Tim Cooijmans, Aaron C. Courville:
Harmonic Recomposition using Conditional Autoregressive Modeling. CoRR abs/1811.07426 (2018) - [i4]Johanna Hansen, Kyle Kastner, Aaron C. Courville, Gregory Dudek:
Planning in Dynamic Environments with Conditional Autoregressive Models. CoRR abs/1811.10097 (2018) - 2017
- [c6]Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko:
Learning to Discover Sparse Graphical Models. ICLR (Workshop) 2017 - [c5]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 - [c4]Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko:
Learning to Discover Sparse Graphical Models. ICML 2017: 440-448 - 2016
- [c3]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: 426-433 - 2015
- [c2]Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, Yoshua Bengio:
A Recurrent Latent Variable Model for Sequential Data. NIPS 2015: 2980-2988 - [c1]Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville:
Learning Distributed Representations from Reviews for Collaborative Filtering. RecSys 2015: 147-154 - [i3]Francesco Visin, Kyle Kastner, Kyunghyun Cho, Matteo Matteucci, Aaron C. Courville, Yoshua Bengio:
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks. CoRR abs/1505.00393 (2015) - [i2]Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, Yoshua Bengio:
A Recurrent Latent Variable Model for Sequential Data. CoRR abs/1506.02216 (2015) - [i1]Francesco Visin, Kyle Kastner, Aaron C. Courville, Yoshua Bengio, Matteo Matteucci, KyungHyun Cho:
ReSeg: A Recurrent Neural Network for Object Segmentation. CoRR abs/1511.07053 (2015)
Coauthor Index
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