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October 15, 2025Herald of Khmelnytskyi National University Technical sciences1 citations

Comparative Evaluation of Text-to-Audio Generation Models for Media Solutions

Evaluation and Comparison of Text-to-Audio Generation Models for Media Applications

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Evaluation shows that Stable Audio Open delivers superior performance in generating audio effects, suggesting new benchmarks for media applications.

Results indicate Stable Audio Open excelled across metrics, highlighting its audio quality and semantic alignment.
The new evaluation framework utilizes several metrics, including Kullback–Leibler divergence and Fréchet Audio Distance.
Increasing inference steps improved alignment, yet improvements waned after 100 steps, indicating a threshold.
The curated dataset and defined metrics provide essential resources for future research in text-to-audio generation.

Mediakov et al. (2025) studied this question.

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October 15, 2025Herald of Khmelnytskyi National University Technical sciences1 citations

Evaluation and Comparison of Text-to-Audio Generation Models for Media Applications

View Full Paper

Ask AI

Bookmark

Authors

Evaluation shows that Stable Audio Open delivers superior performance in generating audio effects, suggesting new benchmarks for media applications.

Results indicate Stable Audio Open excelled across metrics, highlighting its audio quality and semantic alignment.
The new evaluation framework utilizes several metrics, including Kullback–Leibler divergence and Fréchet Audio Distance.
Increasing inference steps improved alignment, yet improvements waned after 100 steps, indicating a threshold.
The curated dataset and defined metrics provide essential resources for future research in text-to-audio generation.

Mediakov et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark