Self-Supervised Representations for Singing Voice Conversion. - Tejas Jayashankar; Jilong Wu; Leda Sari; David Kant; Vimal Manohar; Qing He (ICASSP, 2023)

Simple and Controllable Music Generation. - Jade Copet; Felix Kreuk; Itai Gat; Tal Remez; David Kant; Gabriel Synnaeve; Yossi Adi; Alexandre Défossez (NeurIPS, 2023)

In-Context Prompt Editing for Conditional Audio Generation. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Sidd Srinivasan; Gaël Le Lan; David Kant; Yangyang Shi; Forrest N. Iandola; Vikas Chandra (ICASSP, 2024)

Stack-and-Delay: A New Codebook Pattern for Music Generation. - Gaël Le Lan; Varun Nagaraja; Ernie Chang; David Kant; Zhaoheng Ni; Yangyang Shi; Forrest N. Iandola; Vikas Chandra (ICASSP, 2024)

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. - K. R. Prajwal; Bowen Shi; Matthew Le 001; Apoorv Vyas; Andros Tjandra; Mahi Luthra; Baishan Guo; Huiyu Wang; Triantafyllos Afouras; David Kant; Wei-Ning Hsu (ICML, 2024)

High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching. - Gaël Le Lan; Bowen Shi; Zhaoheng Ni; Sidd Srinivasan; Anurag Kumar 003; Brian Ellis; David Kant; Varun Nagaraja; Ernie Chang; Wei-Ning Hsu; Yangyang Shi; Vikas Chandra (CoRR, 2024)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; Vish Vogeti; David Kant; Yangyang Shi; Vikas Chandra (ACL (1), 2025)

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. - Ernie Chang; Yang Li 183; Patrick Huber; David Kant; Yangyang Shi; Vikas Chandra (CoRR, 2025)