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These community efforts are proof that all languages-not just ones that can generate high revenue for technology companies-are worthy of representation. In some cases, a new language launch on Common Voice is the beginning of that language’s internet presence. Our latest additions include Dutch, Hakha-Chin, Esperanto, Farsi, Basque, and Spanish. Each of these efforts require translating the website to allow contributions and adding sentences to be read. This has surpassed our expectations: Over the last eight months, communities have enthusiastically rallied around the project, launching data collection efforts in 22 languages with an incredible 70 more in progress on the Common Voice site.Īs a community-driven project, people around the world who care about having a voice dataset in their language have been responsible for each new launch - some are passionate volunteers, some are doing this as part of their day jobs as linguists or technologists. Since we enabled multi-language support in June 2018, Common Voice has grown to be more global and more inclusive. More Common Voices: from 3 to 22 languages in 8 months the TEDLIUM corpus from TED talks is ~3x men to women). equal number of men and women) or the corpus is as diverse as the “found” data (e.g.

This is a different approach than for other publicly available datasets, which are either hand-crafted to be diverse (i.e. Contributors can opt-in to provide metadata like their age, sex, and accent so that their voice clips are tagged with information useful in training speech engines. The Common Voice dataset is unique not only in its size and licence model but also in its diversity, representing a global community of voice contributors.
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Moving forward, the full dataset will be available for download on the Common Voice site. With this release, the continuously growing Common Voice dataset is now the largest ever of its kind, with tens of thousands of people contributing their voices and original written sentences to the public domain ( CC0). Altogether, the new dataset includes approximately 1,400 hours of voice clips from more than 42,000 people. Today, we’re excited to share our first multi-language dataset with 18 languages represented, including English, French, German and Mandarin Chinese (Traditional), but also for example Welsh and Kabyle. We also made a promise of openness: we would make the high quality, transcribed voice data that was collected publicly available to startups, researchers, and anyone interested in voice-enabled technologies. We do not charge any extra for these services.Mozilla crowdsources the largest dataset of human voices available for use, including 18 different languages, adding up to almost 1,400 hours of recorded voice data from more than 42,000 contributors.įrom the onset, our vision for Common Voice has been to build the world’s most diverse voice dataset, optimized for building voice technologies.
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Plus, you now get free access to the Texthelp Academy for how-to information, video tutorials, product webinars and lots more.Īll of this is included as part of your subscription. We're always working on making our products better, so any improvements or enhancements are pushed out automatically to you, there's no upgrading to do on your part. If you can't find what you're looking for there, then our Tech Support team is on hand at 9-5pm every day to help with troubleshooting or technical problems.
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