[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
1,440 audio files (.wav), i.e. speech files, from 24 actors that are categorized into 8 separate emotions.
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.
A convolutional neural network trained to classify emotions in singing voices.
This repository contains the source code for my final year project for my undergraduate degree in MTU.
This project identifies emotions from audio using raw waveform input.
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