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iiit-hyderabad

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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…

  • Updated May 26, 2020
  • Jupyter Notebook

👩🏿‍💻IIIT Hyderabad Reasearch Teaser Programme : We developed a robust emotion😃 recognition system utilizing machine learning techniques on the 🗣️CREMA-D dataset to classify various emotions expressed in audio recordings🎙️ accurately.

  • Updated Mar 5, 2024
  • Jupyter Notebook

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