Papers › EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning Performance
EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning Performance
Jaeyeon Kim, Minjeon Jeon, JaeYoon Jung, Sang Hoon Woo, Jinjoo Lee
In this work, we aim to analyze and optimize the EnCLAP framework, a state-of-the-art model in automated audio captioning. We investigate the impact of modifying the acoustic encoder components, explore pretraining with different dataset scales, and study the effectiveness of a reranking scheme. Through extensive experimentation and quantitative analysis of generated captions, we develop EnCLAP++, an enhanced version that significantly surpasses the original.
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Code
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Tasks
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Audio captioning | AudioCaps | EnCLAP++-large | CIDEr | 0.823 | #4 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-large | FENSE | 0.665 | #4 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-large | METEOR | 0.269 | #4 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-large | SPICE | 0.197 | #4 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-large | SPIDEr | 0.510 | #4 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-base | CIDEr | 0.815 | #7 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-base | FENSE | 0.661 | #7 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-base | METEOR | 0.257 | #7 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-base | SPICE | 0.188 | #7 of 18 | Archive leaderboard | report |
| Audio captioning | AudioCaps | EnCLAP++-base | SPIDEr | 0.501 | #7 of 18 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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