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An Effective and Efficient Evaluation Metric for Audio Generation","selected":false,"category":"gen audio eval","year":"2025","Authors":"Yoonjin Chung*, Pilsun Eu*, Junwon Lee, Keunwoo Choi, Juhan Nam, Ben Sangbae Chon (* equal contribution)","bookTitle":"ICML 2025 Workshop on Machine Learning for Audio","bookCategory":"Conferences and Workshops","details":["Proposes Kernel Audio Distance (KAD), a distribution-free, unbiased, and computationally cheaper alternative to FAD.","Aligns more strongly with human perceptions of audio quality than FAD on general audio datasets.","Role: Project lead, experiment design, evaluation, analysis, toolkit implementation."],"material":{"paper":"https://arxiv.org/abs/2502.15602","kadtk (KAD toolkit)":"https://github.com/YoonjinXD/kadtk"}},{"title":"Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound","selected":true,"category":"gen audio cv","year":"2024","Authors":"Junwon Lee, Jaekwon Im, Dabin Kim, Juhan Nam","bookTitle":"IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2025","bookCategory":"Conferences and Workshops","details":["Proposes a two-stage framework, i.e., video-to-loudness and loudness-and-text-to-audio stages, for highly synchronized Foley sound generation.","Video2RMS, a module that predicts s
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Heller, Keunwoo Choi, Brian McFee, Keisuke Imoto, Yuki Okamoto","bookTitle":"arxiv preprint","bookCategory":"Conferences and Workshops","details":["Report on text-to-audio generation systems and evaluation results from the DCASE 2024 Sound Scene Synthesis Challenge.","Role: Organizing committee member."],"material":{"paper":"https://arxiv.org/pdf/2501.08587","website":"https://dcase.community/challenge2024/task-sound-scene-synthesis"}},{"title":"Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation","selected":true,"category":"gen audio eval","year":"2024","Authors":"Junwon Lee*, Modan Tailleur*, Laurie M. Heller*, Keunwoo Choi*, Mathieu Lagrange*, Brian McFee, Keisuke Imoto, Yuki Okamoto","bookTitle":"Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation","bookCategory":"Conferences and Workshops","details":["Benchmarking the compositional generation capabilities of text-to-audio models, including DCASE challenge participants and other state-of-the-art models.","Role: Task design, baseline system and evaluation implementation, result analysis."],"material":{"paper":"https://arxiv.org/abs/2410.17589","openreview":"https://openreview.net/forum?id=PuBx0GTOQN"}},{"title":"CONMOD: Controllable Neural Frame-based Modulation Effects","selected":false,"category":"audio","year":"2024","Authors":"Gyubin Lee, Hounsu Kim, Junwon Lee, Juhan Nam","bookTitle":"Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)","bookCategory":"Conferences and Workshops","material":{"paper":"https://arxiv.org/abs/2406.13935","demo":"https://lgbin81.notion.site/Audio-Demo-for-DAFx-2024-Paper-70705a992d5c4730a1f70fbaf951243b?pvs=4"}},{"title":"Correlation of Fr \u0301echet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant","selected":true,"category":"gen audio eval","year":"2024","Authors":"Modan Tailleur*, Junwon Lee*, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, and Yuki Okamoto (* equal contribution)","bookTitle":"32nd European Signal Processing Conference (EUSIPCO), 2024","bookCategory":"Conferences and Workshops","details":["Demonstrates that the choice of domain-specific audio embeddings for FAD calculation affects the correlation between FAD scores and perceptual ratings.","For environmental sounds, PANNs-Wavegram-LogMel achieves the strongest correlation with perceptual ratings for both audio quality and category fit.","Role: Experiment design, toolkit implementation, analysis."],"material":{"paper":"https://arxiv.org/abs/2403.17508","fadtk (FAD toolkit)":"https://github.com/jnwnlee/fadtk"}},{"title":"T-FOLEY: A Controllable Waveform-Domain Diffusion Model For Temporal-Event-Guided Foley Sound Synthesis","selected":true,"category":"gen audio","year":"2023","Authors":"Yoonjin Chung*, Junwon Lee*, and Juhan Nam (* equal contribution)","bookTitle":"Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024","bookCategory":"Conferences and Workshops","details":["Introduces a diffusion model that incorporates temporal cues alongside text as conditioning for Sketch2Sound Foley generation.","Proposes audio RMS as a temporal event feature and Block-FiLM as an effective and efficient conditioning mechanism.","Role: Designing and implementing the conditioning method, experiment design, evaluation, analysis."],"material":{"paper":"https://arxiv.org/pdf/2401.09294.pdf","demo":"https://yoonjinxd.github.io/Event-guided_FSS_Demo.github.io/","code":"https://github.com/YoonjinXD/T-foley"}},{"title":"Foley Sound Synthesis In Waveform Domain With Diffusion Model","selected":false,"category":"gen audio","year":"2023","Authors":"Yoonjin Chung, Junwon Lee, and Juhan Nam","bookTitle":"DCASE 2023 Challenge Task 7 Foley Sound Synthesis Technical Report (15th, 1st model w/o phase reconstruction model)","bookCategory":"Technical Report","material":{"paper":"https://dcase.community/challenge2023/task-foley-sound-synthesis-results#ChungKAIST2023"}},{"title":"Music Playlist Title Generation Using Artist Information","selected":false,"category":"gen nlp music","year":"2023","Authors":"Haven Kim, Seungheon Doh, Junwon Lee, and Juhan Nam","bookTitle":"AAAI-23 Workshop on Creative AI Across Modalities","bookCategory":"Conferences and Workshops","material":{"paper":"https://arxiv.org/abs/2301.08145"}},{"title":"Music Playlist Title Generation: A Machine-Translation Approach","selected":false,"category":"gen nlp music","year":"2021","Authors":"Seungheon Doh, Junwon Lee, and Juhan Nam","bookTitle":"2nd Workshop on Natural Language Processing for Music and Spoken Audio (NLP4MusA), 2021","bookCategory":"Conferences and Workshops","details":["Frames music playlist title generation as a sequence-to-sequence machine translation task.","Trains an encoder-decoder model to generate phrase-level titles from sequences of music track IDs, incorporating data augmentation techniques.","Role: Dataset preprocessing and filtering, evaluation, analysis."],"material":{"paper":"https://arxiv.org/abs/2110.07354"}}]')},22:function(e){e.exports=JSON.parse('[{"_id":"mac-research-talk","title":"MAC Lab Research Talk","decs":"Building a community that shares technology, applications, and ideas in audio and music AI.","category":"research","url":"https://jnwnlee.github.io/mac-research-talk/","year":"2026"},{"_id":"selva","title":"Demonstration on SelVA","decs":"Hear What Matters! 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