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speech-emotion-classification

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abikaki / awesome-speech-emotion-recognition

Star 73

😎 Awesome lists about Speech Emotion Recognition

machine-learning awesome deep-neural-networks deep-learning emotion artificial-intelligence awesome-list human-computer-interaction speech-processing affective-computing sentiment-classification emotion-detection emotion-recognition multimodal-sentiment-analysis speech-emotion-recognition expressive-speech-synthesis multimodal-emotion-recognition emotional-speech speech-emotion-classification
  • Updated Dec 16, 2024

AndreaLombax / Speech_emotion_recognition

Star 9

In this work is proposed a speech emotion recognition model based on the extraction of four different features got from RAVDESS sound files and stacking the resulting matrices in a one-dimensional array by taking the mean values along the time axis. Then this array is fed into a 1-D CNN model as input.

speech-recognition convolutional-neural-networks speech-emotion-recognition ravdess ravdess-dataset speech-emotion-detection spectral-features speech-emotion-classification
  • Updated Feb 27, 2022
  • Python

yousefkotp / Speech-Emotion-Recognition

Star 8

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.

speech speech-processing ser speech-analysis cnn-architecture speech-emotion-recognition cnn-pytorch speech-emotion-detection speech-emotion speech-emotion-classification cnn-for-audio-recognition cnn-for-speech speech-emotion-using-cnn
  • Updated May 16, 2023
  • Jupyter Notebook

souradeepdutta / Speech-Emotion-Recognition-with-CNN-LSTM-CLSTM

Star 0

his is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. The project uses four datasets: CREMAD, RAVDESS, SAVEE, and TESS. The model achieves an accuracy of 96% by combining CNN, LSTM, and CLSTM architectures, along with data augmentation techniques and feature extraction methods.

machine-learning deep-learning cnn lstm human-computer-interaction convolutional-lstm clstm speech-emotion-recognition ravdess-dataset speech-emotion-classification tess-dataset savee-dataset crema-d-dataset
  • Updated Nov 22, 2024
  • Jupyter Notebook

AndreasScharnetzki / EmotionClassifier

Star 0

A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.

natural-language-processing supervised-learning convolutional-neural-networks transfer-learning preprocessing human-computer-interaction audio-processing multi-class-classification audio-augmentation variable-length-data speech-emotion-classification
  • Updated Jan 20, 2022
  • Python

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