Yu-Chia Kuo is currently a research assistant at the Music and Culture Technology Laboratory, Institute of Information Science, Academia Sinica, Taiwan. She pursued her master's degree in Music Technology at National Taiwan Normal University and completed a bachelor’s degree in Food Science and Biotechnology at National Chung Hsing University, where she also practiced jazz piano and played in the jazz band.

Her main research areas include music, new media, experimental audiovisuals, human-computer interaction, and music information retrieval. As a multimedia artist, she has mainly focused on music composition (electronic) and sound design for different media. She has been making diverse artwork utilizing Max/MSP to create interactive programs and implement data sonification. Her recent works include a sound installation for the Black Hole Exhibit "The Gravity Realm," at the National Museum of Nature and Science in 2023, a VR Sound Installation "Immersi Topia," for the 13th OpenHCI Workshop 2023, the activity execution "Music and Technology: The Aesthetics and Science of Sound," for the National Music Teacher Professional Development Workshop 2023.

As a researcher, her focus revolves around studies concerning automated music generation. Her recent collaborative projects include compiling the Symbolic Symphonic Music Dataset and expressive synthesis study for violin performance generation, for which she also implemented a baseline method for expressive synthesis of violin sounds, controlling the MIDI parameters for various expression terms and articulation symbols. Currently, she is working on a motif discovery task, aiming to advance music modeling by integrating and refining motif discovery techniques.

>> Detail in her CV

郭又嘉，目前在中央研究院資訊科學研究所擔任全職研究助理。就讀國立臺灣師範大學音樂學系碩士班音樂科技跨域合作組，畢業於國立中興大學食品暨應用生物科技學系學士班，同時她也在大學期間擔任爵士鋼琴手並參與爵士樂團的演出。

主要以音樂、新媒體跨域、實驗音像、自動音樂生成，為研究方向；並關注人機互動、科技敘事等議題。作為藝術創作者，她專注於電子音樂和不同媒材的聲音創作，利用 Max/MSP 作為聲音設計與數據互動的主要工具，並透過聲響藝術的視角構思資料聲音化的創作可能，以建立聲音與數據的連結。近期參與製作：國立自然科學博物館《驚心洞波：黑洞暨重力波特展》之展場聲音設計 (2023)、OpenHCI 第十三屆人機互動工作坊《Unity》之技術教學助理以及VR 沈浸式聲音裝置《Immersi Topia》之聲音設計 (2023)；全國音樂教師專業成長工作坊《音樂與科技—聲音的美學與科學》實作活動內容之設計與執行 (2022)。

而作為一名研究人員，她專注於自動音樂生成的相關研究，參與計畫包括：建置交響曲音樂資料庫 (symbolic symphonic music dataset)、基於音樂結構和織體的音樂生成模型、以及小提琴演奏生成的演奏合成研究 (Expressive music synthesis)，通過控制各種表現術語和標點符號的MIDI參數，合成小提琴音樂演奏表情。目前的研究題目為音樂動機偵測，旨在通過整合和改進動機偵測技術，探討自動音樂結構分析與建模。