Spoken dialogue systems must be able to express empathy to achieve natural interaction
with human users. However, laughter generation requires a high level of dialogue …

We present the JVNV, a Japanese emotional speech corpus with verbal content and
nonverbal vocalizations whose scripts are generated by a large-scale language model …

Laughter is one of the most expressive and natural aspects of human speech, conveying
emotions, social cues, and humor. However, most text-to-speech (TTS) systems lack the …

We present a large-scale in-the-wild Japanese laughter corpus and a laughter synthesis
method. Previous work on laughter synthesis lacks not only data but also proper ways to …

The COVID-19 pandemic has shifted many business activities to non-face-to-face activities,
and videoconferencing has become a new paradigm. However, conference spaces isolated …

This paper addresses the problem of non-speech vocalization (NSV) modeling and transfer
in emotional TTS. We propose an emotion TTS system (NSV-TTS) to model NSV and …

As prompt-based generative models have received much attention, many studies have
proposed a similar model for sound generation. While prompt-based generative models …

This paper explores how laughter can be added into a negotiative dialogue with a Furhat,
the socially interactive agent (SIA). We present a proof-of-concept method of manipulating …

The purpose of this research was to enhance the naturalness of synthesised speech by
incorporating authentic laughter data into the laughter synthesis process of the state-of-the …

This thesis paves the way for including laughter in spoken dialogue systems in a domain-
general and linguistically valid way using computational linguistics tools and methods. The …