du-jiaxin's Stars
Andrewyzd/machine-learning-sound-detection
Detect the heart sound using machine learning (tensorflow, keras, pandas, numpy, and matplotlib)
HappyColor/DST
Deformable Speech Transformer (DST)
hwang9u/emocatcher
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
Zhaofan-Su/SpeechEmotionRecognition
davircarvalho/ASEmotion
Audio speech emotion recognition using Temporal Convolutional Networks (TCNs)
zahramajd/speech-emotion-recognition
Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network
bagustris/dimensional-ser
Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning
lixiangucas01/GLAM
This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published in ICASSP 2022
abikaki/awesome-speech-emotion-recognition
😎 Awesome lists about Speech Emotion Recognition
Vincent-ZHQ/CA-MSER
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
SuperKogito/SER-datasets
A collection of datasets for the purpose of emotion recognition/detection in speech.
b04901014/FT-w2v2-ser
Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
aitor-alvarez/gnn-speech-emotion
Prosody-Aware Graph Neural Networks for Speech Emotion Recognition
usc-sail/peft-ser
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models (Accepted to 2023 ACII)
zs1040144820/GA-selects-features-in-SER
通过遗传算法来筛选语音情感识别模型中特征
745165806/Speech-emotion-recognition-Emo-DB
a SER project using CNN+BiLSTM training on Emo-DB
30stomercury/Interaction-Aware-Attention-Network
[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
AryaAftab/LIGHT-SERNET
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
hotelll/speech-emotion-recognition
这个项目将 RAVDESS 数据集切割成 1s 短语音,利用 openSMILE+CNN 进行训练,目标是将短语音分类到四种情感中,分别是:开心(happy)、悲伤(sad)、生气(angry)和中性(neutral)。最后准确率达到 76% 左右。
Jiaxin-Ye/TIM-Net_SER
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
vince9515/SER
语音情感识别代码,结合1D-CNN与GRU在语音增强的CASIA数据集实现语音情感识别,并利用注意力机制进行模型优化