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speech

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Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.

  • Updated May 16, 2023
  • Jupyter Notebook
magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-5-2B

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a VOICE PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

  • Updated Sep 18, 2022
  • Jupyter Notebook

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