audioFlux

audioFlux is a library implemented in C and Python, which provides systematic, comprehensive and multi-dimensional feature extraction and combination in the audio field. In combination with various deep learning network models, it carries out business research and development in the audio field.

Introduce

In the field of deep learning for audio, the mel spectrogram is the most commonly used audio feature. The performance of mel spectrogram features can be benchmarked and compared using audio feature extraction libraries such as the following:

Introduce

audioFlux is a library implemented in C and Python, which provides systematic, comprehensive and multi-dimensional feature extraction and combination in the audio field. In combination with various deep learning network models, it carries out business research and development in the audio field. Next, it briefly describes its relevant functions from six aspects: time-frequency transform, reassign spectrogram, cepstrum coefficient, deconvolution, spectral features, and music information retrieval.

Time-Frequency Transform

audioFlux in the field of time-frequency analysis, the following general transform algorithms (supporting all subsequent frequency scale types) are included: