Question 1

How do I extract MFCCs from an audio file using Meyda?

Accepted Answer

Meyda provides MFCC extraction through its feature set. Use the offline extractor with an audio buffer, specify 'mfcc' as the feature, and configure parameters like number of coefficients. Check the documentation for detailed examples and API usage.

Question 2

Meyda vs. Tone.js: which is better for audio analysis?

Accepted Answer

Meyda excels at audio feature extraction with a comprehensive set of analytical tools, while Tone.js focuses on synthesis and sequencing. For pure analysis tasks like visualization or MIR, Meyda is more suitable; for creating sounds or music, choose Tone.js.

Question 3

How to use Meyda with React for a real-time audio visualization?

Accepted Answer

Set up a Web Audio context in a React useEffect hook, connect Meyda's extractor to an audio source like a microphone, and update component state with extracted features to drive visualizations. The documentation includes guidance on real-time setup and integration examples.

Question 4

Can Meyda be used in Node.js for batch processing?

Accepted Answer

Yes, Meyda can run in Node.js for offline analysis by using the audio buffer extractor, but you'll need to handle audio file reading with libraries like node-wav or web-audio-api since Web Audio API isn't native. This requires extra setup compared to browser usage.

Question 5

What browsers support Meyda's real-time features?

Accepted Answer

Meyda's real-time features rely on the Web Audio API, which is supported in all modern browsers including Chrome, Firefox, Safari, and Edge. For older browsers, compatibility may be limited, so check caniuse.com for specific version details.

Question 6

Is Meyda suitable for building a music genre classification system?

Accepted Answer

Meyda can extract key audio features like MFCCs and spectral characteristics needed for genre classification, but you'll need additional machine learning libraries (e.g., TensorFlow.js) to train and deploy models based on these features, as Meyda handles extraction only.

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