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Data · dataset · 2022

Mansooreh/sharif-emotional-speech-dataset

Listed in Hugging Face Datasets

ShEMO: a large-scale validated database for Persian speech emotion detection

Description

Abstract

This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including anger, fear, happiness, sadness and… See the full description on the dataset page: huggingface.co/datasets/Mansooreh/sharif-emotional-speech-dataset.

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Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Audio 65% · Speech recognition 76%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMansooreh/sharif-emotional-speech-dataset12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:field:460212enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (76%)
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 (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0