Topic: "speech-emotion-detection"
PrudhviGNV/Speech-Emotion-Recognization
Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures
Language: Jupyter Notebook - Size: 669 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 10
pariajm/sharif-emotional-speech-dataset
A large-scale validated database for Persian speech emotion detection.
Size: 13.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 4
AndreaLombax/Speech_emotion_recognition
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.
Language: Python - Size: 79.1 KB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 1
bagustris/disertasi-ser
Repository for PhD activity (dissertation S3) with focus on speech emotion recognition, JAIST 2017~2021
Language: TeX - Size: 59.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
neemiasbsilva/datascience-portfolio
Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I included some case study, papers, and code. Please check the readme.
Language: Jupyter Notebook - Size: 53.4 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
syedissambukhari/speech-emotion-recognition-using-cnn
Deep Learning for Speech Emotion Recognition - Dive into the world of emotional resonance with our cutting-edge CNN-based Speech Emotion Recognition model, achieving an impressive 94% accuracy.
Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
AritraAmbudhDutta/Speech-Emotion-Recognition-on-RAVDESS-Dataset
Speech Emotion Recognition system using CNN architecture to classify 8 emotions from audio recordings (RAVDESS dataset). Features depthwise separable convolutions for efficient audio analysis, reaching ~70% accuracy.
Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
yousefkotp/Speech-Emotion-Recognition
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.
Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
