  In this paper, we construct a new Japanese speech corpus for speech-based
summarization and simplification, "JSSS" (pronounced "j-triple-s"). Given the
success of reading-style speech synthesis from short-form sentences, we aim to
design more difficult tasks for delivering information to humans. Our corpus
contains voices recorded for two tasks that have a role in providing
information under constraints: duration-constrained text-to-speech
summarization and speaking-style simplification. It also contains utterances of
long-form sentences as an optional task. This paper describes how we designed
the corpus, which is available on our project page.

Audio and Speech Processing;Sound