GitHub / HassanHayat08 / Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data

We developed an interpretable CNN for big five personality traits using human speech data. This project discovers the different frequency patterns of a human voice with respect to each five personality traits. This project will help us to understand the apparent personality of a human using his/her voice.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HassanHayat08%2FInterpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data

Topics: 2d-mel-spectrogram, audio-features, cam-generation, cam-mapping, conv-features, layer-weights, mfcc, personality-traits, spectrogram, summary-spectrogram

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