Ke Chen

54 papers A* 4A 1Misc 10Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
TAC: Timestamped Audio Captioning.
CoRR
Sonal Kumar, Prem Seetharaman, Ke Chen, Oriol Nieto, Jiaqi Su, Zhepei Wang, Rithesh Kumar, Dinesh Manocha, Nicholas J. Bryan, Zeyu Jin, Justin Salamon
2025 J jnl
BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music.
CoRR
Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
2025 — conf
DiTVC: One-Shot Voice Conversion via Diffusion Transformer with Environment and Speaking Rate Cloning.
WASPAA
Yunyun Wang, Jiaqi Su, Adam Finkelstein, Rithesh Kumar, Ke Chen, Zeyu Jin
2025 A* conf
FLAM: Frame-Wise Language-Audio Modeling.
ICML
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon
2025 J jnl
FLAM: Frame-Wise Language-Audio Modeling.
CoRR
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon
2025 J jnl
MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding.
CoRR
Jingyue Huang, Zachary Novack, Phillip Long, Yupeng Hou, Ke Chen, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025 J jnl
SpeechOp: Inference-Time Task Composition for Generative Speech Processing.
CoRR
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q. Weinberger, Zeyu Jin
2025 Misc conf
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization.
ICASSP
Keren Shao, Ke Chen, Matthew Baas, Shlomo Dubnov
2025 J jnl
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization.
CoRR
Keren Shao, Ke Chen, Matthew Baas, Shlomo Dubnov
2024 Misc conf
Audiosr: Versatile Audio Super-Resolution at Scale.
ICASSP
Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley
2024 A* conf
HKDSME: Heterogeneous Knowledge Distillation for Semi-supervised Singing Melody Extraction Using Harmonic Supervision.
ACM Multimedia
Shuai Yu, Xiaoliang He, Ke Chen, Yi Yu
2024 A conf
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation.
INTERSPEECH
Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin
2024 J jnl
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation.
CoRR
Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin
2024 Misc conf
MDX-GAN: Enhancing Perceptual Quality in Multi-Class Source Separation Via Adversarial Training.
ICASSP
Ke Chen, Jiaqi Su, Zeyu Jin
2024 J jnl
Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model.
CoRR
Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen, Gérard Assayag, Shlomo Dubnov
2024 J jnl
Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge.
CoRR
Keren Shao, Ke Chen, Shlomo Dubnov
2024 — conf
Music Enhancement with Deep Filters: A Technical Report for the ICASSP 2024 Cadenza Challenge.
ICASSP Workshops
Keren Shao, Ke Chen, Shlomo Dubnov
2024 Misc conf
MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies.
ICASSP
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2024 — —
Representation Learning for Music and Audio Intelligence
Ke Chen
2024 A* conf
Retrieval Guided Music Captioning via Multimodal Prefixes.
IJCAI
Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
2023 J jnl
AudioSR: Versatile Audio Super-resolution at Scale.
CoRR
Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley
2023 J jnl
Graph contrastive learning with implicit augmentations.
Neural Networks
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2023 Misc conf
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.
ICASSP
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023 Misc conf
Multitrack Music Transformer.
ICASSP
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2023 J jnl
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies.
CoRR
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023 J jnl
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation.
CoRR
Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam
2023 — conf
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction.
ISMIR
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023 J jnl
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction.
CoRR
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2023 J jnl
Universal Source Separation with Weakly Labelled Data.
CoRR
Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
2022 Misc conf
Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification.
ICASSP
Xingjian Du, Ke Chen, Zijie Wang, Bilei Zhu, Zejun Ma
2022 J jnl
Graph Contrastive Learning with Implicit Augmentations.
CoRR
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2022 Misc conf
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.
ICASSP
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022 J jnl
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.
CoRR
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022 — conf
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
ISMIR
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022 J jnl
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
CoRR
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022 J jnl
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.
CoRR
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022 — conf
Latent feature augmentation for chorus detection.
ISMIR
Xingjian Du, Huidong Liang, Yuan Wan, Yuheng Lin, Ke Chen, Bilei Zhu, Zejun Ma
2022 J jnl
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.
CoRR
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2022 J jnl
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.
CoRR
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022 Misc conf
Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.
ICASSP
Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2022 A* conf
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data.
AAAI
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2021 Misc conf
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation.
ICASSP
Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
2021 J jnl
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data.
CoRR
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020 — conf
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions.
ICSC
Ke Chen, Gus Xia, Shlomo Dubnov
2020 J jnl
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions.
CoRR
Ke Chen, Gus Xia, Shlomo Dubnov
2020 J jnl
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation.
CoRR
Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
2020 — conf
MusPy: A Toolkit for Symbolic Music Generation.
ISMIR
Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020 J jnl
MusPy: A Toolkit for Symbolic Music Generation.
CoRR
Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020 — conf
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.
ISMIR
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020 J jnl
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.
CoRR
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
2020 — conf
POP909: A Pop-Song Dataset for Music Arrangement Generation.
ISMIR
Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Gus Xia
2020 J jnl
POP909: A Pop-song Dataset for Music Arrangement Generation.
CoRR
Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Xianbin Gu, Gus Xia
2019 — conf
Large-vocabulary Chord Transcription Via Chord Structure Decomposition.
ISMIR
Junyan Jiang, Ke Chen, Wei Li, Gus Xia
2018 J jnl
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation.
CoRR
Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia