An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

28 Nov 2016 Chris Lengerich Awni Hannun

We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection. We develop novel inference algorithms for an end-to-end Recurrent Neural Network trained with the Connectionist Temporal Classification loss function which allow our model to achieve high accuracy on both keyword spotting and voice activity detection without retraining... (read more)

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