Dataset · Hugging Face

google/WaxalNLP

Name: WaxalNLP
Creator: google
License: cc-by-sa-4.0
Keywords: task_categories:automatic-speech-recognition, task_categories:text-to-speech, language_creators:creator_1, multilinguality:multilingual, source_datasets:UGSpeechData, source_datasets:DigitalUmuganda/AfriVoice, source_datasets:original, language:ach, language:aka, language:amh, language:bau, language:dag, language:dga, language:ewe, language:fat

Waxal Datasets The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in the paper WAXAL: A Large-Scale Multilingual African Language Speech Corpus. Dataset Description 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… See the full description on the dataset page: https://huggingface.co/datasets/google/WaxalNLP.

View on Hugging FaceReport an issue

Author / organization	google
License (as declared)	cc-by-sa-4.0
Downloads	9.2K (as reported by Hugging Face)
Likes	297
Created	19 January 2026
Last updated at source	1 September 2026

audioautomatic-speech-recognitiontext-to-speech

Embed this entry

<iframe src="https://silytics.si/embed/item/a407f7e5-7810-4bdf-b9b2-0e4a0ab9ec53" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from google

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.