In spoken dialogue, even if two current turns are the same sentence, their responses might
still differ when they are spoken in different styles. The spoken styles, containing …

Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o,
have captured significant attention in the speech domain. Compared to traditional three-tier …

Conversational Speech Synthesis (CSS) aims to express a target utterance with the proper
speaking style in a user-agent conversation setting. Existing CSS methods employ effective …

While textless Spoken Language Models (SLMs) have shown potential in end-to-end
speech-to-speech modeling, they still lag behind text-based Large Language Models …

The rapid advancement of large language models (LLMs) has significantly propelled the
development of text-based chatbots, demonstrating their capability to engage in coherent …

Recent advancements in large language models (LLMs) and multimodal speech-text
models have laid the groundwork for seamless voice interactions, enabling real-time …

Current large speech language models are mainly based on semantic tokens from
discretization of self-supervised learned representations and acoustic tokens from a neural …

This study focuses on emotion-sensitive spoken dialogue in human-machine speech
interaction. With the advancement of Large Language Models (LLMs), dialogue systems can …

Emphasis is a crucial component in human communication, which indicates the speaker's
intention and implication beyond pure text in dialogue. While Large Language Models …

As speech becomes an increasingly common modality for interacting with large language
models (LLMs), it is becoming desirable to develop systems where LLMs can take into …