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 …

GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and
tones, marks a milestone for omni-modal foundation models. However, empowering Large …

This paper introduces F5-TTS, a fully non-autoregressive text-to-speech system based on
flow matching with Diffusion Transformer (DiT). Without requiring complex designs such as …

The recent large-scale text-to-speech (TTS) systems are usually grouped as autoregressive
and non-autoregressive systems. The autoregressive systems implicitly model duration but …

Building on the foundations of language modeling in natural language processing, Next
Token Prediction (NTP) has evolved into a versatile training objective for machine learning …

GPT-4o, an all-encompassing model, represents a milestone in the development of large
multi-modal language models. It can understand visual, auditory, and textual modalities …

This work proposes FireRedTTS, a foundation text-to-speech framework, to meet the
growing demands for personalized and diverse generative speech applications. The …

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 …

In our previous work, we introduced CosyVoice, a multilingual speech synthesis model
based on supervised discrete speech tokens. By employing progressive semantic decoding …