most citedUtterance-level end-to-end language identification using attention-based CNN-BLSTM

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

eess.AS2019★ 3 cited

Utterance-level end-to-end language identification using attention-based CNN-BLSTM

Weicheng Cai, Danwei Cai, Shen Huang +1

In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM). The mo…