A Recurrent Latent Variable Model for Sequential Data. - Junyoung Chung; Kyle Kastner; Laurent Dinh; Kratarth Goel; Aaron C. Courville; Yoshua Bengio (NIPS, 2015)

Learning Distributed Representations from Reviews for Collaborative Filtering. - Amjad Almahairi; Kyle Kastner; Kyunghyun Cho; Aaron C. Courville (RecSys, 2015)

ReSeg: A Recurrent Neural Network for Object Segmentation. - Francesco Visin; Kyle Kastner; Aaron C. Courville; Yoshua Bengio; Matteo Matteucci; KyungHyun Cho (CoRR, 2015)

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks. - Francesco Visin; Kyle Kastner; Kyunghyun Cho; Matteo Matteucci; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. - Francesco Visin; Adriana Romero; Kyunghyun Cho; Matteo Matteucci; Marco Ciccone; Kyle Kastner; Yoshua Bengio; Aaron C. Courville (CVPR Workshops, 2016)

Char2Wav: End-to-End Speech Synthesis. - Jose Sotelo; Soroush Mehri; Kundan Kumar; João Felipe Santos; Kyle Kastner; Aaron C. Courville; Yoshua Bengio (ICLR (Workshop), 2017)

Learning to Discover Sparse Graphical Models. - Eugene Belilovsky; Kyle Kastner; Gaël Varoquaux; Matthew B. Blaschko (ICML, 2017)

Blindfold Baselines for Embodied QA. - Ankesh Anand; Eugene Belilovsky; Kyle Kastner; Hugo Larochelle; Aaron C. Courville (CoRR, 2018)

Harmonic Recomposition using Conditional Autoregressive Modeling. - Kyle Kastner; Rithesh Kumar; Tim Cooijmans; Aaron C. Courville (CoRR, 2018)

Planning in Dynamic Environments with Conditional Autoregressive Models. - Johanna Hansen; Kyle Kastner; Aaron C. Courville; Gregory Dudek (CoRR, 2018)

Representation Mixing for TTS Synthesis. - Kyle Kastner; João Felipe Santos; Yoshua Bengio; Aaron C. Courville (ICASSP, 2019)

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. - Yusong Wu; Ethan Manilow; Yi Deng; Rigel Swavely; Kyle Kastner; Tim Cooijmans; Aaron C. Courville; Cheng-Zhi Anna Huang; Jesse H. Engel (ICLR, 2022)

R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS. - Kyle Kastner; Aaron C. Courville (CoRR, 2022)

SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders. - Kyle Kastner; Tim Cooijmans; Yusong Wu; Aaron C. Courville (EvoMUSART@EvoStar, 2023)

Understanding Shared Speech-Text Representations. - Gary Wang; Kyle Kastner; Ankur Bapna; Zhehuai Chen; Andrew Rosenberg; Bhuvana Ramabhadran; Yu Zhang 033 (ICASSP, 2023)

Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. - Takaaki Saeki; Gary Wang; Nobuyuki Morioka; Isaac Elias; Kyle Kastner; Andrew Rosenberg; Bhuvana Ramabhadran; Heiga Zen; Françoise Beaufays; Hadar Shemtov (ICASSP, 2024)

Adaptive Accompaniment with ReaLchords. - 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; et al. (ICML, 2024)

Enhancing Low-Resource Spoken Language Identification Via Cross-Modality Retrieval and Cross-Lingual Text-to-Speech Synthesis. - Min Ma; Gary Wang; Kyle Kastner; Isaac Caswell; Charles Yoon; Andrew Rosenberg (SLT, 2024)

High-precision Voice Search Query Correction via Retrievable Speech-text Embedings. - 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 (CoRR, 2024)

Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. - 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; et al. (CoRR, 2024)

Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting. - 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; et al. (CoRR, 2024)

Zero-shot Cross-lingual Voice Transfer for TTS. - Fadi Biadsy; Youzheng Chen; Isaac Elias; Kyle Kastner; Gary Wang; Andrew Rosenberg; Bhuvana Ramabhadran (CoRR, 2024)

Audio Diffusion with Large Language Models. - Yinghui Huang; Kyle Kastner; Kartik Audhkhasi; Bhuvana Ramabhadran; Andrew Rosenberg (ICASSP, 2025)

Speech Re-Painting for Robust ASR. - Kyle Kastner; Gary Wang; Isaac Elias; Takaaki Saeki; Pedro Moreno Mengibar; Françoise Beaufays; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2025)