What type of study is this?

This is a Quantitative Study study (also classified as: Experimental Study).

October 20, 2025Open Access

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks

View Full Paper

Ask AI

Bookmark

Authors

ZXZeyu XieShanghai Jiao Tong University CLChenxing LiTencent (China)XXXuenan Xu

Discussion

Member takes

Implication

This research demonstrates how generative features improve audio classification and captioning, suggesting new avenues for audio representation learning.

Key Points

Generative features enhance audio understanding, allowing for both detailed perception and semantic awareness.
Experiments show consistent performance gains in sound event classification and audio captioning tasks.
This research provides a systematic investigation into the complementary strengths of generative and discriminative features.
The introduction of a fusion strategy marks a significant advancement in audio representation learning.

Cite This Study

Xie et al. (2025) studied this question.

synapsesocial.com/papers/68f5fcce8d54a28a75cf1cd8 https://doi.org/10.48550/arxiv.2509.24635

View Full Paper

Ask AI

Bookmark

Implication

This research demonstrates how generative features improve audio classification and captioning, suggesting new avenues for audio representation learning.

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks

Discussion

Member takes

Implication

Key Points

Cite This Study

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider