Hours and dates
- Oct 27 from 15:10 to 15:50
Kathleen Siminyu is an AI Researcher who has focused on Natural Language Processing for African Languages. She works at Mozilla as a Machine Learning Fellow to support the development of a Kiswahili Common Voice dataset and to build speech transcription models for end use cases in the agricultural and financial domains. In her NLP research, Kathleen has previously worked on speech transcription for Luhya languages and contributed to machine translation for Kenyan languages as part of Masakhane.
ConferencesHonoring Kiswahili through technology and community
A deep look at Mozilla Common Voice’s Kiswahili work – an initiative to bring a vital language of East Africa online, and to make voice technology accessible to Kiswahili speakers. The talk will cover the mission, challenges, and successes of building an open-source Kiswahili speech data set + community of contributors.