PulseAugur
LIVE 13:59:39
research · [2 sources] ·
0
research

MMAudio-LABEL generates audio and event labels from silent videos

Researchers have developed MMAudio-LABEL, a novel framework for generating sound events from silent videos. This approach integrates audio generation and sound event prediction into a single model, overcoming limitations of sequential pipelines. The method demonstrated significant improvements in onset detection and material classification accuracy compared to existing methods. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Enables more accurate and interpretable video-to-audio synthesis by jointly learning generation and event prediction.

RANK_REASON Academic paper detailing a new method for audio event labeling from silent video.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 Italiano(IT) · Kazuya Tateishi, Akira Takahashi, Atsuo Hiroe, Hirofumi Takeda, Shusuke Takahashi, Yuki Mitsufuji ·

    MMAudio-LABEL: Audio Event Labeling via Audio Generation for Silent Video

    arXiv:2605.00495v1 Announce Type: cross Abstract: Recent advances in multimodal generation have enabled high-quality audio generation from silent videos. Practical applications, such as sound production, demand not only the generated audio but also explicit sound event labels det…

  2. arXiv cs.CV TIER_1 Italiano(IT) · Yuki Mitsufuji ·

    MMAudio-LABEL: Audio Event Labeling via Audio Generation for Silent Video

    Recent advances in multimodal generation have enabled high-quality audio generation from silent videos. Practical applications, such as sound production, demand not only the generated audio but also explicit sound event labels detailing the type and timing of sounds. One straight…