Mozilla's large repository of voice data will shape the future of machine learning
Mozilla's open source project, Common Voice, is well on its way to becoming the world’s largest repository of human voice data to be used for machine learning. Common Voice recently made its way into Black Duck's annual Open Source Rookies of the Year list.
What’s special about Common Voice is in the details. Every language is spoken differently—with a wide variation of speech patterns, accents, and intonations—throughout the world. A smart speech recognition engine—that has applications over many Internet of Things (IoT) devices and digital accessibility—can recognize speech samples from a diverse group of people only when it learns from a large number of samples. A speech database of recorded speech from people across geographies helps make this ambitious machine learning possible.
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