TRANSFORMER-TRANSDUCER:END-TO-END SPEECH RECOGNITION WITH SELF-ATTENTION
TRANSFORMER-TRANSDUCER:END-TO-END SPEECH RECOGNITION WITH SELF-ATTENTION 1.論文摘要 （1）使用VGGNet 的因果卷積結合位置信息來對輸入進行下采樣來保證推理的效率。（2）使用截斷自注意力機制來保證transormer的流式處理從而減少計算複雜度。取得了在LibriSPeech test-clean 6.37%的字錯率，在
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- 9. Interspeech 2017 | Self-adaptive Speech Recognition Technology
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