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Finds the dominant periodicity by correlating the spectral flux ODF with itself at different lags. Perceptual weighting (log-Gaussian centered at 120 BPM) resolves octave ambiguity.\n\n```js\nimport tempo from '@audio/beat-tempo'\nlet { bpm, confidence } = tempo(samples, { fs: 44100 })\nlet { bpm, candidates } = tempo(samples, { fs: 44100, candidates: 3 })\n```\n\n| Param | Default | |\n|---|---|---|\n| `fs` | `44100` | Sample rate |\n| `minBpm` | `60` | Minimum BPM to consider |\n| `maxBpm` | `200` | Maximum BPM to consider |\n| `candidates` | `1` | Number of tempo candidates to return |\n\n**Use when:** General tempo estimation — robust for most material.
\n**Ref:** Ellis, \"Beat Tracking by Dynamic Programming\" (JNMR 2007).
\n**Complexity:** $O(N \\log F + L^2)$ where $L$ = lag range in ODF frames.\n\n---\n\nPart of [@audio/beat](https://github.com/audiojs/beat) — the beat family umbrella. This README is generated from the umbrella docs.\n\nMIT © [audiojs](https://github.com/audiojs)\n","readmeFilename":"README.md"}