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Our team finished 39/1315. Our solution was based on Deep Learning and data augmentation.
In this competition, you're challenged to use the Speech Commands Dataset to build an algorithm that understands simple spoken commands. By improving the recognition accuracy of open-sourced voice interface tools, we can improve product effectiveness and their accessibility.
https://www.kaggle.com/c/tensorflow-speech-recognition-challenge
In this competition, you're challenged to use the Speech Commands Dataset to build an algorithm that understands simple spoken commands. By improving the recognition accuracy of open-sourced voice interface tools, we can improve product effectiveness and their accessibility.
https://www.kaggle.com/c/tensorflow-speech-recognition-challenge
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