We introduce Moshi, a speech-text foundation model and full-duplex spoken dialogue
framework. Current systems for spoken dialogue rely on pipelines of independent …

Large Language Models (LLMs) have recently garnered significant attention, primarily for
their capabilities in text-based interactions. However, natural human interaction often relies …

Models like GPT-4o enable real-time interaction with large language models (LLMs) through
speech, significantly enhancing user experience compared to traditional text-based …

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 …

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

Building upon advancements in Large Language Models (LLMs), the field of audio
processing has seen increased interest in training audio generation tasks with discrete …

Mainstream zero-shot TTS production systems like Voicebox and Seed-TTS achieve human
parity speech by leveraging Flow-matching and Diffusion models, respectively …

Interactive virtual humanoid agent is a crucial interface with the physical world. A relatively
complete humanoid agent first needs to have face and body, then possess both verbal and …

Current research in audio deepfake detection is gradually transitioning from binary
classification to multi-class tasks, referred as audio deepfake source tracing task. However …

Multimodal language models that process both text and speech have a potential for
applications in spoken dialogue systems. However, current models face two major …