# JSSS: free Japanese speech corpus for summarization and simplification

arXiv: https://arxiv.org/abs/2010.01793 · HTML: https://mlsanity.com/paper/2010.01793/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Oct 2020.

## Built on by (most cited first, 3 of 3)

- [Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model](https://mlsanity.com/paper/2412.03074/) (2024)
- [Alethia: A Foundational Encoder for Voice Deepfakes](https://mlsanity.com/paper/2605.00251/) (2026)
- [MixedG2P-T5: G2P-free Speech Synthesis for Mixed-script texts using Speech Self-Supervised Learning and Language Model](https://mlsanity.com/paper/2509.01391/) (2025)

## Abstract (arXiv)

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.