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Kallaama – Agricultural Speech Dataset

Domaine:

natural language processing

Type de record:

dataset
ASR system development, voice assistants, agricultural advisory tools in local languages, language modeling, multilingual AI research Notes / challenges: Contains over 125 hours of transcribed speech; includes validated subset (~35 hours); supports spontaneous speech modeling; may require preprocessing for ML use

Visit

zenodo.org

Tasks

automatic speech recognitionspeech processing

Tags

open-data-africaopen-data-africa catalog

Similaires

Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal Kallaama Wolof speech dataset Kallaama Pulaar speech dataset Kallaama Sereer speech datasetgauthelo/kallaama-speech-datasetKallaama datasetKallaama: A Transcribed Speech Dataset about Agriculture in Wolof, Pulaar, and SereerKinyarwanda Agricultural Text-to-Speech DatasetKallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal

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This data is transcribed speech data, in Wolof, Pulaar and Sereer. The recordings are about agricul

gauthelo/kallaama-speech-dataset

A transcribed speech dataset in Wolof, Pulaar and Sereer, to support agriculture. Funded by Lacuna F

Kallaama dataset

This dataset contains 125 hours of transcribed speech recordings about agriculture in Wolof, Pulaar and Sereer, the three most widely spoken languages in Senegal.

Kallaama: A Transcribed Speech Dataset about Agriculture in Wolof, Pulaar, and Sereer

Train Automatic Speech Recognition (ASR) models for Senegalese languages - Build Text-to-Speech (TTS

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Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal

This scientific publication describes the Kallaama speech dataset collected and curated during 1 year, in 2023.