Building Community-Centred NLP Resources for Puno Quechua
The development of dedicated automatic speech recognition (ASR) resources for Puno Quechua has been announced, featuring the largest speech corpus for any Quechua variety, with 66 hours of recordings, including 36 hours of validated data. This initiative was part of a participatory design campaign aimed at preserving under-resourced languages through digital tools shaped by their speakers.
WPN Brief
- What Happened
The development of dedicated automatic speech recognition (ASR) resources for Puno Quechua has been announced, featuring the largest speech corpus for any Quechua variety, with 66 hours of recordings, including 36 hours of validated data. This initiative was part of a participatory design campaign aimed at preserving under-resourced languages through digital tools shaped by their speakers.
- Why It Matters
This advancement is significant as it not only enhances the accessibility of Puno Quechua but also sets a precedent for the creation of similar resources for other underrepresented languages, fostering linguistic diversity and cultural preservation.