2 citations · 3 across the 5 of their papers we have counts for
5 papers
FireRedAudio: A General-Purpose Audio Language Model with Decoupled Continuous Representations for Understanding and Generation
Feiyu Shen, Fenglong Xie, Junjie Li +13
A unified audio model must recognize and understand linguistic, paralinguistic, and environmental information while supporting speech synthesis and editing. A key challenge is repr…
FireRedTTS3: Unified Speech Generation and Editing with Semantically Enriched Speech Representations
Feiyu Shen, Kun Xie, Yichen Wu +8
Recent continuous autoregressive TTS models operate directly on continuous speech representations, preserving rich acoustic details while leveraging the instruction-following capab…
FireRedChat: A Pluggable, Full-Duplex Voice Interaction System with Cascaded and Semi-Cascaded Implementations
Junjie Chen, Yao Hu, Junjie Li +12
Full-duplex voice interaction allows users and agents to speak simultaneously with controllable barge-in, enabling lifelike assistants and customer service. Existing solutions are…
FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast and Chatbot
Kun Xie, Feiyu Shen, Junjie Li +3
Current dialogue generation approaches typically require the complete dialogue text before synthesis and produce a single, inseparable speech containing all voices, making them uns…
FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications
Hao-Han Guo, Yao Hu, Kun Liu +6
This work proposes FireRedTTS, a foundation text-to-speech framework, to meet the growing demands for personalized and diverse generative speech applications. The framework compris…