Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Speech tech and Common Voice at Mozilla
Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.
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Featuring
- Jenny Zhang – Twitter, Website
- Remy Muhire – Twitter, GitHub
- Josh Meyer – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- Mozilla Common Voice
- Announcement of Josh and Remy’s fellowship work on speech tech for African languages
- Artie Bias Corpus
- Readings on Demographic Bias in ASR:
- Common Voice LREC Paper
- Common Voice + DeepSpeech collaborators for Low-resource languages:
- “under-sampled majority” is a quote from Joy Boulamwini (see this article)