Shintaro Ando — accepted AI-conference papers

2021

Construction of a Large-Scale Japanese ASR Corpus on TV Recordings

ICASSP 2021accepted

This paper presents a new large-scale Japanese speech corpus for training automatic speech recognition (ASR) systems. This corpus contains over 2,000 hours of speech with transcripts built on Japanese TV recordings and their subtitles. We develop herein an iterative workflow to extract matching audi…

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2020

Converting Written Language to Spoken Language with Neural Machine Translation for Language Modeling

Shintaro Ando, Masayuki Suzuki, Nobuyasu Itoh, Gakuto Kurata, Nobuaki Minematsu

ICASSP 2020accepted

When building a language model (LM) for spontaneous speech, the ideal situation is to have a large amount of spoken, in-domain training data. Having such abundant data, however, is not realistic. We address this problem by generating texts in spoken language from those in written language by using a…

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