Ke Chen
Orcid: 0000-0001-8357-3741Affiliations:
- University of California San Diego, Music Department, CREL, San Diego, CA, USA
- NYU Shanghai, 2Music X Lab, Shanghai, China
According to our database1,
Ke Chen
authored at least 24 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on knutchen.com
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on orcid.org
On csauthors.net:
Bibliography
2023
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation.
CoRR, 2023
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies.
CoRR, 2023
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.
CoRR, 2022
CoRR, 2022
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
2018
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation.
CoRR, 2018