Topic: speech-emotion-recognition Goto Github
Some thing interesting about speech-emotion-recognition
Some thing interesting about speech-emotion-recognition
speech-emotion-recognition,[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
User: 30stomercury
speech-emotion-recognition,😎 Awesome lists about Speech Emotion Recognition
User: abikaki
speech-emotion-recognition,Champion at Brainhack TIL 2022: Team 8000SGD_CAT
User: aliencaocao
speech-emotion-recognition,Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
User: aryaaftab
speech-emotion-recognition,How to use our public wav2vec2 dimensional emotion model
Organization: audeering
speech-emotion-recognition,Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning
User: bagustris
speech-emotion-recognition,A wrapper for Audeering's wav2vec-based dimensional speech emotion recognition
User: bagustris
speech-emotion-recognition,Speech_Emotion_detection-SVM,RF,DT,MLP
User: blhprasanna99
speech-emotion-recognition,Moody is a web application allowing the host of online meetings (e.g. via Zoom, Microsoft Teams or Google Meet) to collect real-time feedback of the participant's emotions.
Organization: coins-ss21
Home Page: https://moody.digital
speech-emotion-recognition,💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
Organization: coqui-ai
speech-emotion-recognition,Speech Emotion Recognition
User: cybermaryver
speech-emotion-recognition,This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
Organization: data-science-kosta
speech-emotion-recognition,TensorFlow implementation of "Attentive Modality Hopping for Speech Emotion Recognition," ICASSP-20
User: david-yoon
Home Page: https://arxiv.org/abs/1912.00846
speech-emotion-recognition,TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
User: david-yoon
Home Page: https://arxiv.org/abs/1810.04635
speech-emotion-recognition,[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
User: ddlbojack
speech-emotion-recognition,Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
User: demfier
speech-emotion-recognition,[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Organization: ecnu-cross-innovation-lab
Home Page: https://www.researchgate.net/publication/371101522
speech-emotion-recognition,Adversarial Auto-encoders for Speech Based Emotion Recogntion
User: eesungkim
speech-emotion-recognition,Multilingual Voice Understanding Model
Organization: funaudiollm
Home Page: https://funaudiollm.github.io/
speech-emotion-recognition,Multi-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture
User: gianscuri
speech-emotion-recognition,Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
Organization: habla-liaa
speech-emotion-recognition,Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
User: hariharitha21
speech-emotion-recognition,Speaker independent emotion recognition
User: hkveeranki
Home Page: http://speechemotionrecognition.repos.hkveeranki.com/
speech-emotion-recognition,Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
User: hoseinazad
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。
User: hotelll
speech-emotion-recognition,[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
User: hwang9u
speech-emotion-recognition,[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
User: jiaxin-ye
speech-emotion-recognition,Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From INTERSPEECH 2019
User: krishnadn
speech-emotion-recognition,An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
User: letianlee
speech-emotion-recognition,Wav2Vec for speech recognition, classification, and audio classification
User: m3hrdadfi
speech-emotion-recognition,The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
User: miteshputhran
speech-emotion-recognition,Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
User: mjpyeon
speech-emotion-recognition,Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
User: mkosaka1
speech-emotion-recognition,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.
User: mmakiuchi
speech-emotion-recognition,SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings
User: nhattruongpham
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 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).
User: praweshd
speech-emotion-recognition,Bidirectional LSTM network for speech emotion recognition.
User: rayanwang
speech-emotion-recognition,Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
User: renovamen
speech-emotion-recognition,In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
User: rudrajikadra
speech-emotion-recognition,The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
User: shamanez
speech-emotion-recognition,The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Organization: speechbrain
speech-emotion-recognition,A collection of datasets for the purpose of emotion recognition/detection in speech.
User: superkogito
Home Page: https://superkogito.github.io/SER-datasets
speech-emotion-recognition,Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
User: tzaiyang
speech-emotion-recognition,Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
User: vandana-rajan
speech-emotion-recognition,Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
User: vincent-zhq
speech-emotion-recognition,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
speech-emotion-recognition,speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
User: xuanjihe
speech-emotion-recognition,语音感情识别
User: yeyupiaoling
speech-emotion-recognition,Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
User: ztrimus
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