Emotion recognition
hubert-large-speech-emotion-recognition-russian-dusha-finetunedemotion-recognition-wav2vec2-IEMOCAPwav2vec2-xlsr-persian-speech-emotion-recognitionwav2vec2-lg-xlsr-en-speech-emotion-recognitionwav2vec2-xlsr-53-russian-emotion-recognitionspeech-emotion-recognition-with-openai-whisper-large-v3wav2vec2-emotion-recognitionwav2vec2-base-Speech_Emotion_Recognition-ONNX
CASIA_speech_emotion_recognitionvideo-emotion-recognition-dataset
Video Dataset of Various Emotions for Recognition Tasks
Dataset comprises 1,000+ videos featuring 11 facial emotions and 15 inner emotions expressed by individuals from diverse backgrounds, including various races, genders, and ages. It is designed for emotion recognition research, focusing on emotion detection and emotion classification tasks.
By utilizing this dataset, researchers can explore advanced emotion analysis techniques and develop robust recognition models that can… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/video-emotion-recognition-dataset.speech-emotion-recognition
Speech Emotion Recognition
Dataset comprises 30,000+ audio recordings featuring 4 distinct emotions: euphoria, joy, sadness, and surprise. This extensive collection is designed for research in emotion recognition, focusing on the nuances of emotional speech and the subtleties of speech signals as individuals vocally express their feelings.
By utilizing this dataset, researchers and developers can enhance their understanding of sentiment analysis and improve automatic speech… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/speech-emotion-recognition.ssi-speech-emotion-recognition
Dataset Card for SSI: Speech Emotion Recognition - Stapes AI
Dataset Details
Dataset Format for Audio Files
This is the format for the audio files in the dataset. We'll open-source the dataset soon.
Gender
M - Male
F - Female
Age Group
CH - Child (0-12)
TE - Teenager (13-19)
AD - Adult (20-60)
SE - Senior (60+)
UNK - Unknown
Utterance Type
SEN: Sentence
WOR: Word
PHR: Phrase
Sentence
DFA: "Don't Forget A… See the full description on the dataset page: https://huggingface.co/datasets/stapesai/ssi-speech-emotion-recognition.iemocap_emotion_recognition@article{busso2008iemocap,
title={IEMOCAP: Interactive emotional dyadic motion capture database},
author={Busso, Carlos and Bulut, Murtaza and Lee, Chi-Chun and Kazemzadeh, Abe and Mower, Emily and Kim, Samuel and Chang, Jeannette N and Lee, Sungbok and Narayanan, Shrikanth S},
journal={Language resources and evaluation},
volume={42},
pages={335--359},
year={2008},
publisher={Springer}
}
@article{wang2024audiobench,
title={AudioBench: A Universal Benchmark for Audio Large… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/iemocap_emotion_recognition.facial-emotion-recognition-datasetThe dataset consists of images capturing people displaying 7 distinct emotions
(anger, contempt, disgust, fear, happiness, sadness and surprise).
Each image in the dataset represents one of these specific emotions,
enabling researchers and machine learning practitioners to study and develop
models for emotion recognition and analysis.
The images encompass a diverse range of individuals, including different
genders, ethnicities, and age groups*. The dataset aims to provide
a comprehensive representation of human emotions, allowing for a wide range of
use cases.