SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications

Fuente: arXiv
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Main Authors: Han, Jionghao, Shi, Jiatong, Someki, Masao, Tang, Yuxun, Liu, Lan, Zhao, Yiwen, Feng, Wenhao, Watanabe, Shinji
Format: Preprint
Published: 2025
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author Han, Jionghao
Shi, Jiatong
Someki, Masao
Tang, Yuxun
Liu, Lan
Zhao, Yiwen
Feng, Wenhao
Watanabe, Shinji
author_facet Han, Jionghao
Shi, Jiatong
Someki, Masao
Tang, Yuxun
Liu, Lan
Zhao, Yiwen
Feng, Wenhao
Watanabe, Shinji
contents With recent advances in automatic speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) technologies, spoken dialogue systems (SDS) have become widely accessible. However, most existing SDS are limited to conventional spoken responses. We present SingingSDS, a cascaded SDS that responds through singing rather than speaking, fostering more affective, memorable, and pleasurable interactions in character-based roleplay and interactive entertainment scenarios. SingingSDS employs a modular ASR-LLM-SVS pipeline and supports a wide range of configurations across character personas, ASR and LLM backends, SVS models, melody sources, and voice profiles, tailored to different needs in terms of latency, quality, and musical style. SingingSDS is available as a plug-and-play web demo, featuring modular, open-source code that supports customization and extension. Demo: https://huggingface.co/spaces/espnet/SingingSDS. Code: https://github.com/SingingSDS/SingingSDS.
format Preprint
id arxiv_https___arxiv_org_abs_2511_20972
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications
Han, Jionghao
Shi, Jiatong
Someki, Masao
Tang, Yuxun
Liu, Lan
Zhao, Yiwen
Feng, Wenhao
Watanabe, Shinji
Sound
With recent advances in automatic speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) technologies, spoken dialogue systems (SDS) have become widely accessible. However, most existing SDS are limited to conventional spoken responses. We present SingingSDS, a cascaded SDS that responds through singing rather than speaking, fostering more affective, memorable, and pleasurable interactions in character-based roleplay and interactive entertainment scenarios. SingingSDS employs a modular ASR-LLM-SVS pipeline and supports a wide range of configurations across character personas, ASR and LLM backends, SVS models, melody sources, and voice profiles, tailored to different needs in terms of latency, quality, and musical style. SingingSDS is available as a plug-and-play web demo, featuring modular, open-source code that supports customization and extension. Demo: https://huggingface.co/spaces/espnet/SingingSDS. Code: https://github.com/SingingSDS/SingingSDS.
title SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications
topic Sound
url https://arxiv.org/abs/2511.20972