ivishalanand / Speech-Emotion-Recognition-Using-Deep-CNNLinks
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
☆37Updated 2 years ago
Alternatives and similar repositories for Speech-Emotion-Recognition-Using-Deep-CNN
Users that are interested in Speech-Emotion-Recognition-Using-Deep-CNN are comparing it to the libraries listed below
Sorting:
- Detecting emotions using MFCC features of human speech using Deep Learning☆129Updated 4 years ago
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆57Updated 4 years ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆137Updated 4 years ago
- ☆49Updated last year
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆106Updated 4 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆111Updated 3 years ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆47Updated last year
- Time series course Fall 2019 project☆53Updated 5 years ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆291Updated last year
- In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifi…☆27Updated last year
- ☆90Updated 2 years ago
- A multimodal approach on emotion recognition using audio and text.☆182Updated 5 years ago
- Bidirectional LSTM network for speech emotion recognition.☆264Updated 6 years ago
- [ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs☆35Updated 5 years ago
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆39Updated last year
- 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…☆25Updated 4 years ago
- Simple d-vector based Speaker Recognition (verification and identification) using Pytorch☆211Updated 5 years ago
- Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to id…☆67Updated 4 years ago
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆205Updated 2 years ago
- Repository for code and paper submitted for APSIPA 2019, Lanzhou, China☆23Updated last year
- Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a …☆247Updated 2 years ago
- Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition☆11Updated last year
- Repository of code for Speech emotion recognition using voiced speech and attention model, submitted to ICSigSys 2019☆13Updated 5 years ago
- Speaker independent emotion recognition☆321Updated last year
- speech emotion recognition using a convolutional recurrent networks based on IEMOCAP☆399Updated 6 years ago
- Automatic speech emotion recognition based on transfer learning from spectrograms using ResNET☆25Updated 3 years ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆120Updated 4 years ago
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆136Updated 7 months ago
- Understanding emotions from audio files using neural networks and multiple datasets.☆422Updated 2 years ago
- ☆29Updated 3 years ago