ملف الباحث
Motoi Omachi
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Attention-based ASR with Lightweight and Dynamic Convolutions
2019 · arXiv (Cornell University)
End-to-end (E2E) automatic speech recognition (ASR) with sequence-to-sequence models has gained attention because of its simple model training compared with conventional hidden Markov model based ASR. Recently, several studies report the state-of-the-art E2E ASR results …