Mozilla's open source voice recognition tool nears human-like accuracy


The free-software company also on Wednesday released a first set of crowdsourced recordings under its Common Voice project, designed to let anyone train and test machine learning algorithms to recognize speech. The dataset includes almost 400,000 downloadable samples, adding up to 500 hours of speech. More than 20,000 people from around the world have contributed to a call for recordings, which Mozilla hopes will help future voice-powered systems fluently understand a wide variety of accents and types of speech. "We at Mozilla believe technology should be open and accessible to all, and that includes voice," Mozilla Senior Vice President of Emerging Technologies Sean White wrote in a blog post.