JSSS: free Japanese speech corpus for summarization and simplification
Shinnosuke Takamichi, Mamoru Komachi, Naoko Tanji, Hiroshi Saruwatari

TL;DR
This paper introduces JSSS, a new Japanese speech corpus designed for speech-based summarization and simplification tasks, featuring recordings for duration-constrained and style-simplified speech, supporting research in information delivery.
Contribution
The paper presents the creation and design of a novel Japanese speech corpus specifically tailored for summarization and simplification tasks in speech processing.
Findings
Corpus enables research on speech summarization and simplification.
Includes recordings for duration-constrained and style-simplified speech.
Supports long-form sentence utterances for comprehensive analysis.
Abstract
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Text Readability and Simplification
