43 skills found · Page 1 of 2
Emotional-Text-to-Speech / Dl For Emo Tts:computer: :robot: A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech :speaker:
IliaZenkov / Transformer Cnn Emotion RecognitionSpeech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
Jiaxin-Ye / TIM Net SER[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
mkosaka1 / Speech Emotion RecognitionUsing Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
cristinalunaj / MMEmotionRecognitionRepository with the code of the paper: A proposal for Multimodal Emotion Recognition using auraltransformers and Action Units on RAVDESS dataset
anita-hu / MSAFOffical implementation of paper "MSAF: Multimodal Split Attention Fusion"
IliaZenkov / Sklearn Audio ClassificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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。
hwang9u / Emocatcher[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
LetianLee / Speech Emotion RecognitionAn implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
gianscuri / Emotion Recognition SER FER RAVDESSMulti-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture
rudrajikadra / Speech Emotion Recognition Using Librosa Library And MLPClassifierIn this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
RoccoJay / Audio To EmotionClassifying Audio to Emotion
praweshd / Speech Emotion RecognitionIn this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conventionally used Support Vector Machine (SVM) and its performance is compared to that of a bidirectional long short-term memory (LSTM).
ZenvilleErasmus / RAVDESS Emotions Speech Audio Only1,440 audio files (.wav), i.e. speech files, from 24 actors that are categorized into 8 separate emotions.
tuncayka / Speech EmotionThe Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)
rajnish-aggarwal / Emotion Recognition Using Audio And Video On RAVDES DatasetNo description available
Dalia-Sher / Speech Emotion Recognition Using BLSTM With AttentionWe present a study of a neural network based method for speech emotion recognition, using audio-only features. In the studied scheme, the acoustic features are extracted from the audio utterances and fed to a neural network that consists of CNN layers, BLSTM combined with an attention mechanism layer, and a fully-connected layer. To illustrate and analyze the classification capabilities of the network we used the t-SNE method. We evaluated our model using RAVDESS and IEMOCAP databases.
KangHyunWook / Pytorch Implementation Of Multimodal Emotion Recognition On RAVDESS DatasetNo description available
pdadial / Speech Emotion Recognition CNN LSTMCNN-LSTM based SER model using RAVDESS database
