GiantSteps Tempo

audio
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About

GiantSteps Tempo is a specialized audio processing benchmark for tempo estimation in electronic dance music, featuring annotated datasets for evaluating AI models' ability to detect musical tempo and beat tracking. This benchmark tests models' audio analysis capabilities, rhythm recognition, and temporal pattern detection in music, providing essential evaluation for music information retrieval and audio processing systems.

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Evaluation Stats
Total Models1
Organizations1
Verified Results0
Self-Reported1
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers

Score Distribution

1 models
Top Score
88.0%
Average Score
88.0%
High Performers (80%+)
1

Top Organizations

#1Alibaba Cloud / Qwen Team
1 model
88.0%
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Leaderboard
1 models ranked by performance on GiantSteps Tempo
LicenseLinks
Mar 27, 2025
Apache 2.0
88.0%
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Resources