The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. - Ke Chen 021; Weilin Zhang; Shlomo Dubnov; Gus Xia (CoRR, 2018)

Large-vocabulary Chord Transcription Via Chord Structure Decomposition. - Junyan Jiang; Ke Chen 021; Wei Li 012; Gus Xia (ISMIR, 2019)

POP909: A Pop-Song Dataset for Music Arrangement Generation. - Ziyu Wang 008; Ke Chen 021; Junyan Jiang; Yiyi Zhang; Maoran Xu; Shuqi Dai; Gus Xia (ISMIR, 2020)

Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. - Ke Chen 021; Cheng-i Wang; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ISMIR, 2020)

MusPy: A Toolkit for Symbolic Music Generation. - Hao-Wen Dong; Ke Chen 021; Julian J. McAuley; Taylor Berg-Kirkpatrick (ISMIR, 2020)

Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. - Ke Chen 021; Gus Xia; Shlomo Dubnov (ICSC, 2020)

POP909: A Pop-song Dataset for Music Arrangement Generation. - Ziyu Wang 008; Ke Chen 021; Junyan Jiang; Yiyi Zhang; Maoran Xu; Shuqi Dai; Xianbin Gu; Gus Xia (CoRR, 2020)

Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation. - Ke Chen 021; Beici Liang; Xiaoshuan Ma; Minwei Gu (ICASSP, 2021)

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (AAAI, 2022)

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2022)

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. - Ke Chen 021; Shuai Yu 002; Cheng-i Wang; Wei Li 012; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2022)

Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification. - Xingjian Du; Ke Chen 021; Zijie Wang; Bilei Zhu; Zejun Ma (ICASSP, 2022)

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. - Ke Chen 021; Hao-Wen Dong; Yi Luo; Julian J. McAuley; Taylor Berg-Kirkpatrick; Miller S. Puckette; Shlomo Dubnov (ISMIR, 2022)

Latent feature augmentation for chorus detection. - Xingjian Du; Huidong Liang; Yuan Wan; Yuheng Lin; Ke Chen 021; Bilei Zhu; Zejun Ma (ISMIR, 2022)

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (CoRR, 2022)

Multitrack Music Transformer. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (ICASSP, 2023)

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. - Yusong Wu; Ke Chen 021; Tianyu Zhang; Yuchen Hui; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2023)

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. - Keren Shao; Ke Chen 021; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ISMIR, 2023)

Universal Source Separation with Weakly Labelled Data. - Qiuqiang Kong; Ke Chen 021; Haohe Liu; Xingjian Du; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Mark D. Plumbley (CoRR, 2023)

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. - Ilaria Manco; Benno Weck; Seungheon Doh; Minz Won; Yixiao Zhang 002; Dmitry Bogdanov; Yusong Wu; Ke Chen 021; Philip Tovstogan; Emmanouil Benetos; Elio Quinton; György Fazekas; et al. (CoRR, 2023)

Graph contrastive learning with implicit augmentations. - Huidong Liang; Xingjian Du; Bilei Zhu; Zejun Ma; Ke Chen 021; Junbin Gao (Neural Networks, 2023)

MDX-GAN: Enhancing Perceptual Quality in Multi-Class Source Separation Via Adversarial Training. - Ke Chen 021; Jiaqi Su; Zeyu Jin (ICASSP, 2024)

MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. - Ke Chen 021; Yusong Wu; Haohe Liu; Marianna Nezhurina; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2024)

Audiosr: Versatile Audio Super-Resolution at Scale. - Haohe Liu; Ke Chen 021; Qiao Tian 001; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2024)

Music Enhancement with Deep Filters: A Technical Report for the ICASSP 2024 Cadenza Challenge. - Keren Shao; Ke Chen 021; Shlomo Dubnov (ICASSP Workshops, 2024)

Retrieval Guided Music Captioning via Multimodal Prefixes. - Nikita Srivatsan; Ke Chen 021; Shlomo Dubnov; Taylor Berg-Kirkpatrick (IJCAI, 2024)

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. - Ke Chen 021; Jiaqi Su; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Zeyu Jin (INTERSPEECH, 2024)

HKDSME: Heterogeneous Knowledge Distillation for Semi-supervised Singing Melody Extraction Using Harmonic Supervision. - Shuai Yu 002; Xiaoliang He; Ke Chen 021; Yi Yu 001 (ACM Multimedia, 2024)

Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model. - Tornike Karchkhadze; Mohammad Rasool Izadi; Ke Chen 021; Gérard Assayag; Shlomo Dubnov (CoRR, 2024)

Representation Learning for Music and Audio Intelligence - Ke Chen 021 (2024)

EMOPIA+. - Jingyue Huang; Ke Chen 021; Yi-Hsuan Yang (Zenodo, 2024)

kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization. - Keren Shao; Ke Chen 021; Matthew Baas; Shlomo Dubnov (ICASSP, 2025)