74 citations · 132 across the 12 of their papers we have counts for
4 papers · 1 filter
Pretraining by Backtranslation for End-to-end ASR in Low-Resource Settings
Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe +3
We explore training attention-based encoder-decoder ASR in low-resource settings. These models perform poorly when trained on small amounts of transcribed speech, in part because t…
Character-Aware Decoder for Translation into Morphologically Rich Languages
Adithya Renduchintala, Pamela Shapiro, Kevin Duh +1
Neural machine translation (NMT) systems operate primarily on words (or sub-words), ignoring lower-level patterns of morphology. We present a character-aware decoder designed to ca…
ESPnet: End-to-End Speech Processing Toolkit
Shinji Watanabe, Takaaki Hori, Shigeki Karita +9
This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts w…
Multi-Modal Data Augmentation for End-to-End ASR
Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner +1
We present a new end-to-end architecture for automatic speech recognition (ASR) that can be trained using \emph{symbolic} input in addition to the traditional acoustic input. This…