Nabarun Goswami

19 papers A* 2A 4Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model.
SIGGRAPH Asia
Xuangeng Chu, Nabarun Goswami, Ziteng Cui, Hanqin Wang, Tatsuya Harada
2025 J jnl
ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model.
CoRR
Xuangeng Chu, Nabarun Goswami, Ziteng Cui, Hanqin Wang, Tatsuya Harada
2025 J jnl
EDM-TTS: Efficient Dual-Stage Masked Modeling for Alignment-Free Text-to-Speech Synthesis.
Trans. Mach. Learn. Res.
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
2025 A conf
FUSE: Universal Speech Enhancement using Multi-Stage Fusion of Sparse Compression and Token Generation Models for the URGENT 2025 Challenge.
INTERSPEECH
Nabarun Goswami, Tatsuya Harada
2025 J jnl
FUSE: Universal Speech Enhancement using Multi-Stage Fusion of Sparse Compression and Token Generation Models for the URGENT 2025 Challenge.
CoRR
Nabarun Goswami, Tatsuya Harada
2025 J jnl
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space.
Trans. Mach. Learn. Res.
Nabarun Goswami, Yusuke Mukuta, Tatsuya Harada
2025 A* conf
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning.
ICLR
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
2025 J jnl
Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal Consistency.
CoRR
Xi Xue, Kunio Suzuki, Nabarun Goswami, Takuya Shintate
2024 J jnl
Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation.
CoRR
Kohei Uehara, Nabarun Goswami, Hanqin Wang, Toshiaki Baba, Kohtaro Tanaka, Tomohiro Hashimoto, Kai Wang, Rei Ito, Takagi Naoya, Ryo Umagami, Yingyi Wen, Tanachai Anakewat, Tatsuya Harada
2024 J jnl
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space.
CoRR
Nabarun Goswami, Yusuke Mukuta, Tatsuya Harada
2024 J jnl
The Sound Demixing Challenge 2023 - Music Demixing Track.
Trans. Int. Soc. Music. Inf. Retr.
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
2023 J jnl
The Sound Demixing Challenge 2023 - Music Demixing Track.
CoRR
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
2022 A conf
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate.
INTERSPEECH
Nabarun Goswami, Tatsuya Harada
2022 J jnl
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate.
CoRR
Nabarun Goswami, Tatsuya Harada
2019 A conf
Recursive Speech Separation for Unknown Number of Speakers.
INTERSPEECH
Naoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji
2019 J jnl
Recursive speech separation for unknown number of speakers.
CoRR
Naoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji
2018 J jnl
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation.
CoRR
Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji
2018 — conf
Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation.
IWAENC
Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji
2018 A conf
PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation.
INTERSPEECH
Naoya Takahashi, Purvi Agrawal, Nabarun Goswami, Yuki Mitsufuji