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In addition to the Common Voice dataset, we’re also building an open source speech recognition engine called Deep Speech.
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We’re crowdsourcing an open-source dataset of voices.
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Donate your voice, validate the accuracy of other people’s clips, make the dataset better for everyone.
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To make it into the Common Voice dataset, a voice clip must be validated by two separate users.
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The Common Voice Dataset contains hundreds of thousands of voice samples that help developers build voice recognition tools.
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The Clip Graveyard consists of voice clips that didn't make it into the Common Voice dataset.
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Just like the dataset, the Clip Graveyard is available for download.
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We’re building an open source, multi-language dataset of voices that anyone can use to train speech-enabled applications.
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Common Voice’s multi-language dataset is already the largest publicly available voice dataset of its kind, but it’s not the only one.
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Adding more parameters to a neural network is often necessary to increase performance, but without a corresponding increase in dataset size, it can easily lead to overfitting.
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All volcanoes in the dataset with magma flow rates greater than one-tenth of a cubic kilometer per year—roughly 40,000 Olympic swimming pools—ruptured their magma chambers within a year.
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This dataset is of good quality.
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