# WAXAL: A large-scale open resource for African language speech technology

DevFeed: [WAXAL: A large-scale open resource for African language speech technology](<https://devfeed.tech/articles/waxal-a-large-scale-open-resource-for-african-language-speech-technology-6927.md>)

Original publisher: [Read original article](<https://research.google/blog/waxal-a-large-scale-open-resource-for-african-language-speech-technology/>)

Published: 2026-03-06T20:06:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [asr](<https://devfeed.tech/topics/asr.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [data](<https://devfeed.tech/topics/data.md>), [Google](<https://devfeed.tech/topics/google.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [africa](<https://devfeed.tech/tags/africa.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [asr](<https://devfeed.tech/tags/asr.md>), [audio](<https://devfeed.tech/tags/audio.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [google](<https://devfeed.tech/tags/google.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resources](<https://devfeed.tech/tags/resources.md>), [speech](<https://devfeed.tech/tags/speech.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [transcription](<https://devfeed.tech/tags/transcription.md>), [voice](<https://devfeed.tech/tags/voice.md>)

## AI overview

Google Research introduces WAXAL, an open-access speech dataset covering 27 Sub-Saharan African languages. The release includes approximately 1,846 hours of transcribed ASR data and more than 565 hours of high-fidelity TTS recordings under a CC-BY-4.0 license.

## Source excerpt

Natural Language Processing