Dataset · Hugging Face

amu-cai/nEMO

Name: nEMO
Creator: amu-cai
License: cc-by-nc-sa-4.0
Keywords: task_categories:audio-classification, task_categories:automatic-speech-recognition, task_categories:text-to-speech, task_ids:audio-emotion-recognition, task_ids:audio-language-identification, task_ids:sentiment-analysis, task_ids:speaker-identification, multilinguality:monolingual, language:pl, license:cc-by-nc-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:audio, modality:text, library:datasets

nEMO: Dataset of Emotional Speech in Polish Dataset Description nEMO is a simulated dataset of emotional speech in the Polish language. The corpus contains over 3 hours of samples recorded with the participation of nine actors portraying six emotional states: anger, fear, happiness, sadness, surprise, and a neutral state. The text material used was carefully selected to represent the phonetics of the Polish language. The corpus is available for free under the… See the full description on the dataset page: https://huggingface.co/datasets/amu-cai/nEMO.

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Author / organization	amu-cai
License (as declared)	cc-by-nc-sa-4.0
Downloads	243 (as reported by Hugging Face)
Likes	13
Created	15 March 2024
Last updated at source	28 May 2024

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16 Oct 2026 Description: nEMO: Dataset of Emotional Speech in Polish Dataset Description nEMO is a simulated dataset of emotional speech in the Polish language. The corpus contains over 3 hours of samples recorded with the participation of nine actors portraying si → nEMO: Dataset of Emotional Speech in Polish Dataset Description nEMO is a simulated dataset of emotional speech in the Polish language. The corpus contains over 3 hours of samples recorded with the participation of nine actors portraying si

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