Donate your voice sampe

Recording voice clips is an integral part of building our open dataset; some would say it's the fun part too.

Help us get to 1,200

Today's Progress

232 / 1200

Clips recorded

Rate Voices

Validating donated clips is equally important to the Common Voice mission. Take a listen and help us create quality open source voice data.

Have you read our Terms?

Help us get to 2,400

Today's Progress

499 / 2400

Clips validated

Common Voice is an initiative to help teach machines how real people speak.

Voice is natural, voice is human. That’s why we’re excited about creating usable voice technology for our machines. But to create voice systems, developers need an extremely large amount of voice data.

Most of the data used by large companies isn’t available to the majority of people. We think that stifles innovation. So we’ve launched Common Voice, a project to help make voice recognition open and accessible to everyone.

Now you can donate your voice to help us build an open-source voice database that anyone can use to make innovative apps for devices and the web. Read a sentence to help machines learn how real people speak. Check the work of other contributors to improve the quality. It’s that simple!

Hours Recorded

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20k

Hours Validated

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14k

Voices Online Now

269

Help us build a high quality, publicly open dataset

Having a profile is not required to contribute though it is helpful, see why below.

Benefits

What's Public?

1.Make your submitted data as rich as possible by providing some anonymous demographic data. We de-identify all demographic data before making it public.
2.Profile information improves the audio data used in training speech recognition accuracy.
3.Keep track of your progress and metrics across multiple languages.
4.See how your progress compares to other contributors all over the world.
5.View your progress against personal and project goals.
6.Optionally join on our email list for updates and new information about the project.

1.We will not make your email public.
2.The number of recordings and which languages you contribute to will be public.
3.You can choose to make your username public or anonymous.
4.Optionally submitted demographic data (e.g. age, gender, language, and accent) will never be made public on your profile, and will not be linked to your account in the dataset. Individual audio clips will be associated with demographic data for the purpose of more accurate analysis - for example, a researcher might want to target a training model to a specific demographic segment.
5.Your username and email will not be associated with the published data.