Feature Extraction
Extract key audio features for machine learning models in speech and sound analysis.
Record or Insert Audio
đ´ Recording... Speak clearly into your microphone
Extracted Features Example
MFCC (first 5 coefficients): 12.3, 9.8, 8.7, 7.5, 6.1
Mel Spectrogram (sample): 0.85, 0.78, 0.92, 0.88, 0.80
Chroma Feature (sample): 0.67, 0.70, 0.72, 0.65, 0.68
What to Expect
- MFCCs represent the short-term power spectrum of sound and are essential for speech recognition.
- Mel Spectrograms visualize frequency content over time for richer audio feature analysis.
- Chroma features capture the tonal content of the audio useful in music processing.