Audio is sent to DEEP-LEARNING 7-LAYERED DNN Model , which considers spectrogram of the audio and uses the Librosa library for classifying the particular emotions Angry, Sad, Disgust, Surprised, and a testing accuracy of 75%. The calls are classified based on following features in our DL Model: ### MelSpectrogram, MFCC, Spectral-Contrast, Chroma,Tonnetz The text is prioritized using TF-IDF, Page Ranking, Cosine Similarity using steps:
Jupyter Notebook
Audio is sent to DEEP-LEARNING 7-LAYERED DNN Model , which considers spectrogram of the audio and uses the Librosa library for classifying the particular emotions Angry, Sad, Disgust, Surprised, and a testing accuracy of 75%.
The calls are classified based on following features in our DL Model:
The text is prioritized using TF-IDF, Page Ranking, Cosine Similarity using steps: