Music and Audio Computing Lab

Current Research Topics

Our research focuses on applying computational methods such as digitial signal processing and machine learning to various musical contexts including music listening, performance, composition, production, education, entertainment and arts.



Music Performance

Piano Performance Analysis

Polyphonic Piano Transcription, Audio-to-Score Alignment, Performer Identification, Performer Motion Analysis

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Expressive Piano Performance Rendering

Emotional Performance Rendering, Pianist Style Modeling

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Singing Analysis and Style Transfer

Singing Note Transcription, Singing Technique Analysis, Singing Style Transfer

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Singing Voice Synthesis

Expressive Vocal Audio Rendering

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AI DJ

DJ mix Analysis, Automatic Mix Generation, Beat-tracking, Music Structure Analysis

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Sound-to-Motion and Motion-to-Sound

LipSync Generation

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Music Composition and Production

Intelligent Music Production

Drum Sample Retrieval, Automatic Parameter Estimation of Digital Audio Effects

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Symbolic Music Generation

Game BGM Generation, Drum Pattern Generation and Expressive Control, Piano Music Generation

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Virtual Korean Traditional Instrument

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Music Listening

Music Representation Learning

Deep Metric Learning for Music, Disentangled Representation Learning

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Music and Audio Classification

Sample-level CNNs, Multi-level and Multi-scale Model, Music Auto-Tagging, DCASE, Keyword Spotting

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Pop Music Vocal Analysis

Semantic Vocal Tagging, Singer identification, Cross-domain Embedding Space Learning

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Pop Music Melody Extraction and Transcription

Vocal Melody Extraction, Singing Voice Detection, Singing Note Transcription

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Symbolic Melody Similarity

Symbolic Music Representation, Symbolic Melody Retrieval

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Multimodal Music Retrieval

Musical Word Embedding, Zero-shot Learning for Music Annotation and Retrieval, Query-by-Word, Query-by-Image

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Arts

AI Piano

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Soundscape and AI

Neuroscape, Mixedscape

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Past Research Topics

Expressive Musical Interaction on Multi-Touch

Audio Feedback Systems for Evolutionary Sound Generation