activity
20242026
most citedSeed-Music: A Unified Framework for High Quality and Controlled Music Generation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Head Avatars with Dynamic Explicit Hair

Vanessa Sklyarova, Haonan Chen, Berna Kabadayi +8

We present DynHair, a novel method for tracking and modeling dynamic hair for human head avatars. From video input, we reconstruct a dynamic head avatar with an explicit strand-bas…

cs.CL2026

Do Speech Emphasis Models Generalize across Languages and Emotions?

Megan Wei, Deepali Aneja, Jiaqi Su +3

Prosodic emphasis varies across languages, emotions, and speaking styles, yet existing emphasis detection models are largely trained and evaluated on monolingual neutral read speec…

cs.SD2025

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis

Yixiao Zhang, Haonan Chen, Ju-Chiang Wang +1

Audio-based music structure analysis (MSA) is an essential task in Music Information Retrieval that remains challenging due to the complexity and variability of musical form. Recen…

cs.SD2024★ 2 cited

Seed-Music: A Unified Framework for High Quality and Controlled Music Generation

Ye Bai, Haonan Chen, Jitong Chen +35

We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regr…

cs.SD2024

SymPAC: Scalable Symbolic Music Generation With Prompts And Constraints

Haonan Chen, Jordan B. L. Smith, Janne Spijkervet +5

Progress in the task of symbolic music generation may be lagging behind other tasks like audio and text generation, in part because of the scarcity of symbolic training data. In th…