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Last decade has seen a rise in the number and quality of neural networks based ASR models, for example the ability to process sequences [1] through recurrent neural networks (RNN) based encoder-decoder models, often using an attention [2] mechanism to preserve the context while training in an end-to-end (E2E) [3] manner.
Imagine you came back from a work trip and need to submit an expense claim with the receipts you’ve kept, or your meeting has just finished and you need to transfer to your PC the meeting minutes you have on a piece of paper.
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