Multilingual Voice Understanding Model
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Updated
Mar 23, 2025 - Python
Multilingual Voice Understanding Model
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
Speaker independent emotion recognition
Bidirectional LSTM network for speech emotion recognition.
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From INTERSPEECH 2019
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。
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in the ASRU 2021 conference.
Speech Emotion Recognition
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
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