Question 1

How accurate is bpm-detective for techno music?

Accepted Answer

It's quite accurate for techno and other dance genres within the 90-180 BPM range, as it's specifically tuned for that spectrum. However, accuracy might drop with highly complex rhythms or poor audio quality.

Question 2

Can I use bpm-detective with MP3 files in a web app?

Accepted Answer

Yes, but you need to decode the MP3 into an AudioBuffer first using the Web Audio API's decodeAudioData method. The README provides an example with fetch and decoding.

Question 3

bpm-detective or web-audio-beat-detector for simple BPM analysis?

Accepted Answer

bpm-detective is lighter and more straightforward for basic BPM detection from pre-loaded audio, while web-audio-beat-detector might offer more features. Choose bpm-detective if you need a minimal, focused solution.

Question 4

How to integrate bpm-detective with user audio uploads?

Accepted Answer

After a user uploads an audio file, use the File API to read it as an ArrayBuffer, decode it with AudioContext, and pass the AudioBuffer to the detect function. Handle errors with try-catch for failed uploads.

Question 5

What happens if bpm-detective throws an error on a valid song?

Accepted Answer

Errors typically occur if the audio sample is too short or outside the BPM range. Check the audio length and genre; you might need to pre-process or use a different library for non-dance music.

Question 6

Is bpm-detective good for real-time DJ apps?

Accepted Answer

Not ideal, as it requires pre-loaded AudioBuffers. For real-time analysis, you'd need to buffer audio chunks and run detection repeatedly, which isn't optimized by this library's design.

bpm-detective

What is bpm-detective?

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