praweshd / speech_emotion_recognition
In 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 fo…
☆26Updated 8 months ago
Related projects: ⓘ
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆36Updated 6 months ago
- Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition☆10Updated 10 months ago
- ☆43Updated 9 months ago
- How to detect emotions from speech using Bi-directional LSTM networks and attention mechanism in Keras.☆16Updated 6 months ago
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆57Updated 3 years ago
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆36Updated last year
- Speech_Emotion_detection-SVM,RF,DT,MLP☆20Updated last year
- Automatic speech emotion recognition based on transfer learning from spectrograms using ResNET☆20Updated 2 years ago
- Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in…☆44Updated 3 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆103Updated 3 years ago
- Speech Emotion Recognition using transfer learning with wav2vec on IEMOCAP.☆15Updated 3 years ago
- Multi-modal Speech Emotion Recogniton on IEMOCAP dataset☆82Updated last year
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆87Updated 2 years ago
- Human emotions are one of the strongest ways of communication. Even if a person doesn’t understand a language, he or she can very well u…☆22Updated 3 years ago
- [RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)☆23Updated 11 months ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆134Updated 3 years ago
- Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning☆16Updated last month
- An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning …☆30Updated 2 years ago
- TensorFlow implementation of "Attentive Modality Hopping for Speech Emotion Recognition," ICASSP-20☆32Updated 4 years ago
- A pytorch implementation of Speech emotion recognition using deep 1D & 2D CNN LSTM networks☆23Updated 11 months ago
- Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch☆28Updated 5 months ago
- This is the repository for Neural Networks project called Speech Emotion Classification Using Attention-Based LSTM☆11Updated 4 years ago
- Time series course Fall 2019 project☆52Updated 4 years ago
- This repository contains the code for our ICASSP paper `Speech Emotion Recognition using Semantic Information` https://arxiv.org/pdf/2103…☆22Updated 3 years ago
- Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition☆62Updated 2 years ago
- ☆26Updated 2 years ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆112Updated 3 years ago
- MFCC features + SVM for speech emotion classification☆15Updated 3 years ago
- This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published…☆41Updated 2 years ago
- Speech Emotion Recognition☆40Updated last year