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Waxal NLP Datasets

Domaine:

natural language processing

Type de record:

dataset
Créateur:
Phs
Hôte:
The Waxal project provides datasets for both Automated Speech Recognition (ASR) and Text-to-Speech (TTS) for African languages. The goal of this dataset's creation and release is to facilitate research that improves the accuracy and fluency of speech and language technology for these underserved languages, and to serve as a repository for digital preservation.

Visit

huggingface.co

Tasks

automatic speech recognitionspeech processingtext to speech

Languages

AcholiAkanAmharicDagaare, SouthernDagbaniDholuoÉwéFanteFulaGanda+15

Tags

audioautomatic-speech-recognitiontext-to-speech

Licenses

cc-by-sa-4.0cc-by-4.0

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Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t

Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t

Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t

Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t

Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t

Waxal NLP Datasets

The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in t