36 citations · 149 across the 21 of their papers we have counts for
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eess.AS2019★ 1 cited
Attention-based ASR with Lightweight and Dynamic Convolutions
Yuya Fujita, Aswin Shanmugam Subramanian, Motoi Omachi +1
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 Mar…
eess.AS2019★ 17 cited
An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions
Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe +3
Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for automatic speech recognition (ASR) because of its ability to jointly optimize all the conventional ASR compon…