Papers
arxiv:2511.20972

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

Published on Nov 26
Authors:
,
,
,
,
,
,
,

Abstract

SingingSDS is a modular spoken dialogue system that generates singing responses, enhancing interactivity and enjoyment in character-based scenarios.

AI-generated summary

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.

Community

Sign up or log in to comment

Models citing this paper 4

Datasets citing this paper 0

No dataset linking this paper

Cite arxiv.org/abs/2511.20972 in a dataset README.md to link it from this page.

Spaces citing this paper 5

Collections including this paper 0

No Collection including this paper

Add this paper to a collection to link it from this page.