tabahi/formantfeatures
Extract frequency, power, width and dissonance of formants from wav files
Processes audio in configurable frame windows (25ms default at 10ms stride) with pre-emphasis filtering and outputs 12 normalized features per frame (frequency, power, width, dissonance for up to 3 formants), using Numba-accelerated computation and HDF5 storage for batch processing. Integrates with the SER_Datasets_Import ecosystem for bulk feature extraction from speech emotion recognition datasets, with helper functions for reading HDF files and computing dataset statistics.
No commits in the last 6 months. Available on PyPI.
Stars
28
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jun 03, 2022
Monthly downloads
15
Commits (30d)
0
Dependencies
5
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