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Data · dataset · 2023

UniqueData/speech-emotion-recognition-dataset

Listed in Hugging Face Datasets

The audio dataset consists of a collection of texts spoken with four distinct emotions.

Description

These texts are spoken in English and represent four different emotional states: **euphoria, joy, sadness and surprise**. Each audio clip captures the tone, intonation, and nuances of speech as individuals convey their emotions through their voice.

The dataset includes a diverse range of speakers, ensuring variability in age, gender, and cultural backgrounds*, allowing for a more comprehensive representation of the emotional spectrum. The dataset is labeled and organized based on the emotion expressed in each audio sample, making it a valuable resource for emotion recognition and analysis. Researchers and developers can utilize this dataset to train and evaluate machine learning models and algorithms, aiming to accurately recognize and classify emotions in speech.

Links

Topics

Stated by source
audio classification
Inferred from text
Audio 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsUniqueData/speech-emotion-recognition-dataset15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:audioenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:audio-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0