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Input a Voice and Output the Emotional Color

[ICASSP2023] Joint Discriminator and Transfer Based Fast Domain Adaptation for End-to-End Speech Recognition

Speech-Emotion-Recognition-System is a project that can detect your emotion with few seconds recording.

speech emotion recognition using a convolutional recurrent networks based on IEMOCAP

Speech emotion recognition for Egyptian-Arabic using deep learning and transfer learning

Emotion classification from human speech using ResNet-34 and transfer learning

Official code for A Segment Level Approach to Speech Emotion Recognition using Transfer Learning, ACPR 2019

Implement deep learning models to transfer audio to emothion recognition

This repository contains a work-in-progress emotion recognition project. It employs TensorFlow, the VGG16 pre-trained model, and transfer learning techniques on the FER2013 dataset. Code updates an…

Transfer learning based on deep auto-encoder for emotion recognition

Emotion detection using transfer learning

Facial emotional recognition project based on human face image dataset. Use of CNN, DNN , transfer learning and ensemble model to achieve good performance model. Collaborator: Samyak P., Noah G., L…

[ACII 2023] PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models

This Repo consist code for transfer learning for facial emotion detection via valence and arousal levels. We used pretrained weights from VGG-16 net and apply on that features deep neural network a…

Speech Emotion Recognition using transfer learning with wav2vec on IEMOCAP.

Automatic speech emotion recognition based on transfer learning from spectrograms using ResNET

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[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".

A multimodal approach on emotion recognition using audio and text.

This repo contains implementation of different architectures for emotion recognition in conversations.

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition"

Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021…

[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations

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