Free software community Mozilla has crowdsourced voices to help train AI in voice diversity. Its Common Voice project offers the expanding data, which currently has 2,400 hours of voices from seven languages, to help companies train voice-enabled applications. Mozilla’s Head of Machine Learning Kelly Davis said existing speech recognition services only recognised languages that were profitable and that only a fraction of people benefited from voice recognition technology. Davis added that the technology worked better for men than women and that market forces would not help speakers of minority languages.
Free software community Mozilla has crowdsourced voices to help train AI in voice diversity. Its Common Voice project offers the expanding data, which currently has 2,400 hours of voices from 29 languages, to help companies train voice-enabled applications. Mozilla’s Head of Machine Learning Kelly Davis said existing speech recognition services only recognised languages that were profitable and that only a fraction of people benefited from voice recognition technology. Davis added that the technology worked better for men than women and that market forces would not help speakers of minority languages.