SOURCE-LINKED INTELLIGENCE
TTM-Bench: A Framework for Text-to-Music System Performance Benchmarking
Text-to-music (TTM) systems are increasingly used to generate musical audio from natural-language descriptions. Robust evaluation is therefore essential, yet reliable performance comparison remains challenging. This difficulty stems from differences in system architecture, supported conditioning information, and access mode, as well as heterogeneous and fragmented metrics that cannot be applied uniformly across systems. To address these challenges, we introduce TTM-Bench, a framework that defines a common protocol for systematic, reproducible performance benchmarking of contemporary TTM system
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T12:44:11.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.