Takao Okuda — accepted AI-conference papers

2023

Streaming Joint Speech Recognition and Disfluency Detection

Hayato Futami, Emiru Tsunoo, Kentaro Shibata, Yosuke Kashiwagi, Takao Okuda, Siddhant Arora +1

ICASSP 2023accepted

Disfluency detection has mainly been solved in a pipeline approach, as post-processing of speech recognition. In this study, we propose Transformer-based encoder-decoder models that jointly solve speech recognition and disfluency detection, which work in a streaming manner. Compared to pipeline appr…

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2021

Making Punctuation Restoration Robust and Fast with Multi-Task Learning and Knowledge Distillation

Michael Hentschel, Emiru Tsunoo, Takao Okuda

ICASSP 2021accepted

In punctuation restoration, we try to recover the missing punctuation from automatic speech recognition output to improve understandability. Currently, large pre-trained transformers such as BERT set the benchmark on this task but there are two main drawbacks to these models. First, the pre-training…

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