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20162025
most citedEnd-to-end attention-based distant speech recognition with Highway LSTM

3 citations · 4 across the 7 of their papers we have counts for

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cs.CL2016★ 3 cited

End-to-end attention-based distant speech recognition with Highway LSTM

Hassan Taherian

End-to-end attention-based models have been shown to be competitive alternatives to conventional DNN-HMM models in the Speech Recognition Systems. In this paper, we extend existing…