17 citations · 34 across the 15 of their papers we have counts for
8 papers · 1 filter
LV-CTC: Non-autoregressive ASR with CTC and latent variable models
Yuya Fujita, Shinji Watanabe, Xuankai Chang +1
Non-autoregressive (NAR) models for automatic speech recognition (ASR) aim to achieve high accuracy and fast inference by simplifying the autoregressive (AR) generation process of…
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Yosuke Higuchi, Nanxin Chen, Yuya Fujita +6
Non-autoregressive (NAR) models simultaneously generate multiple outputs in a sequence, which significantly reduces the inference speed at the cost of accuracy drop compared to aut…
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
Tianzi Wang, Yuya Fujita, Xuankai Chang +1
Non-autoregressive (NAR) modeling has gained more and more attention in speech processing. With recent state-of-the-art attention-based automatic speech recognition (ASR) structure…
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…
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…
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…