1 citations · 1 across the 2 of their papers we have counts for
5 papers
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation
Motoi Omachi, Brian Yan, Siddharth Dalmia +2
The black-box nature of end-to-end speech translation (E2E ST) systems makes it difficult to understand how source language inputs are being mapped to the target language. To solve…
Toward Streaming ASR with Non-Autoregressive Insertion-based Model
Yuya Fujita, Tianzi Wang, Shinji Watanabe +1
Neural end-to-end (E2E) models have become a promising technique to realize practical automatic speech recognition (ASR) systems. When realizing such a system, one important issue…
Insertion-Based Modeling for End-to-End Automatic Speech Recognition
Yuya Fujita, Shinji Watanabe, Motoi Omachi +1
End-to-end (E2E) models have gained attention in the research field of automatic speech recognition (ASR). Many E2E models proposed so far assume left-to-right autoregressive gener…
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…
Speaker Selective Beamformer with Keyword Mask Estimation
Yusuke Kida, Dung Tran, Motoi Omachi +2
This paper addresses the problem of automatic speech recognition (ASR) of a target speaker in background speech. The novelty of our approach is that we focus on a wakeup keyword, w…