陳飛岳 Fei-Yueh Chen

Education學歷

  • University of Rochester

    M.S. in Electrical Engineering & M.S. in Computational Linguistics (Dual Degree)

    Rochester, New York

  • National Taiwan University

    B.A. in Economics, Minor in Mathematics

    Taipei, Taiwan  ·  Dean's List Award (2019)

Industry業界經歷

  • Smule Inc.

    Research Intern  ·  Remote, USA

    Advisor: Yongyi Zang

    • Contributed to the dataset and evaluation pipeline for Smule Renaissance Small (SRS), a 10.4M-parameter vocal restoration model achieving 10.5× real-time inference on iPhone 12 CPU at 48 kHz
    • Contributed to StylePitcher: rectified flow matching-based pitch curve generator for singing voice synthesis — NeurIPS 2025 Workshop Best Paper Award
    • Trained HuBERT-based self-supervised encoders and distilled ConvNeXt-based speech encoders for on-device singing voice applications

Research研究經歷

  • AIR Lab, University of Rochester

    Graduate Research Student

    Advisor: Prof. Zhiyao Duan

    • Co-developed MusicSem: 32K-pair language-audio dataset from Reddit with 5-category semantic taxonomy (NeurIPS 2025 Workshop)
    • Developing a hierarchical method for symbolic music generation combining autoregressive and diffusion models
    • Collaborated with Prof. C. M. Downey on evaluating multilingual ASR for Yoruba and Uneme; extended Feature Error Rate with tone-aware dimensions (TER) (EACL 2026 AfricaNLP)
  • CCL Lab, National Taiwan University

    Research Intern

    Advisors: Prof. Kuan-Ming Chen, Prof. Patrick C.-C. Huang

    • Built LLM pipeline for structured feature extraction from Mandarin court verdicts, enabling large-scale empirical legal analysis
    • Co-developing TW-LegalBench: 16K+ MCQs, 117 essay questions, 14K+ criminal judgment prediction instances (under review, ICAIL 2026)
  • NLPSA Lab, Academia Sinica

    Research Assistant

    Advisor: Prof. Lun-Wei Ku

    • Led development of Omiyage: LLM-powered multimodal interactive art system — Taiwan Future Tech Award 2023. Deployed across 4 public exhibitions
  • Music AI Lab, Academia Sinica

    Research Assistant

    Advisor: Prof. Yi-Hsuan Yang

    • Proposed novel MIDI tokenization for transformer-based symbolic music generation enabling joint lyrics-melody generation in a single autoregressive pass
    • Improved lyric rhyming fluency via 2-stage generation with phoneme-level tone and vowel constraints

Skills技術

Technical Python · PyTorch · HuggingFace Transformers · Librosa · Miditok
Languages Mandarin (native) · English (fluent)