Sponge2019's Stars
doocs/source-code-hunter
😱 从源码层面,剖析挖掘互联网行业主流技术的底层实现原理,为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶,Mybatis、Netty、Dubbo 框架,及 Redis、Tomcat 中间件等
rd2coding/Road2Coding
编程之路
Renovamen/Speech-Emotion-Recognition
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Demfier/multimodal-speech-emotion-recognition
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
EvelynFan/AWESOME-MER
🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬
shamanez/Self-Supervised-Embedding-Fusion-Transformer
The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.
wenliangdai/Modality-Transferable-MER
Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.
kuhnkeF/ABAW2020TNT
Submission to the Affective Behavior Analysis in-the-wild (ABAW) 2020 competition.
lemin0922/EmotiW-2018
EmotiW 2018
julieeF/CS231N-Project
wangyx240/Multimodal-Input-Emotion-Recognition
Multimodal emotion recognition system of attention based vision network + audio network
rajnish-aggarwal/Emotion-recognition-using-audio-and-video-on-RAVDES-dataset
LeadingIndiaAI/Multimodal-Emotion-Recognition-in-Polish
Multimodal emotion recognition is a challenging task because emotions can be expressed through various modalities. It can be applied in various fields, for example, human-computer interaction, crime, healthcare, multimedia retrieval, etc. In recent times, neural networks have achieved overwhelming success in determining emotional states. Motivated by these advancements, we present a multimodal emotion recognition system which is based on body language, facial expression and speech. This paper presents the techniques used in the Multimodal Emotion Recognition in Polish challenge. To detect the emotional state for various videos, data preprocessing operations are performed and robust features are extracted. For this purpose, we have used facial landmark detection for facial expressions and MFCC for speech.
Masseeh/EmotiW19
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling
robertjkeck2/EmoNet
Audio-only Emotion Detection using Federated Learning
luyunan0404/Multimodal-Emotion-Recognition
tasiomendez/multimodal
Multimodal Analysis for Emotion Recognition
toxtli/MultiAffect
Reproducible Research Framework for Multimodal Affect and Action Recognition at Utterance-Level with Spatio-Temporal Feature Fusion by using Face, Instantaneous Emotions, Audio, Text, and Body Features
abhishekyana/Emotion-Recognition-using-Spatio-Temporal-Data
Emotion Recognition using Spatio-Temporal Data, applied on RAVDESS Dataset, to predict 8 emotion, based on the Video(Spatio) and Audio(Temporal) Data.
souravrs999/Speech-emotion-recognition
Tool to recognize emotions from speech signals
djaym7/EmotionRecognition
Recognizing human emotions based on the audio, video of the subject.
MSJ1996/RAVDESS-Dataset
RAVDESS is the acronym of The Ryerson Audio-Visual Database of Emotional Speech and Song. It contains audio files of 24 actors (12 male, 12 female ) with different emotions like calm, angry, sad, happy, fearful, etc. The expressions have two intensity normal and strong. The dataset is useful for speech emotion recognition.
oghabi/Emotion-Recognition-Classifier
Emotion recognition system to detect various laughter types from video clips
H3OX/nn_lab
djinn09/cloud_speech_audio_file-master
git repo for cloud file
meena-shiv/Speech-Emotion-Recognition
A model to recognize emotion from speech using the librosa and sklearn Python libraries and the RAVDESS data set.
micaelgg/tfm-project
Nikhil-K-Singh/EmotionRecognition
utilizing open source ravdess dataset to build an system to recognize emotion in audio data
petersonzilli/dl
vijayr-158/SpeechEmotionRecognition