EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
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Updated
Feb 6, 2024 - Python
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
Understanding emotions from audio files using neural networks and multiple datasets.
Facial Emotion Recognition on FER2013 Dataset Using a Convolutional Neural Network
Realtime person's face recognize and can classify emotion using webcam, video or images.
This program can recognize your mood by detecting your face and play song according your mood
An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
TTS for pitch-accented language. Korean dialect DB.
Speech Emotion Recognition
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
An emotion and gender detector based on facial features, built with Python and OpenCV
PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
Using Extended Cohn-Kanade AU-Coded Facial Expression Database to classify basic human facial emotion expressions using ann
✨Valine/MiniValine/Waline(已兼容新版写法,直接使用MiniValine同样的链接即可)自定义表情列表,为你的表情库“喜加亿”
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
Identifies emotion(s) from user facial expressions
[CSED499I] Emotion Recognition from Korean Text - 2017 Spring
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