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20242026
most citedFireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Understanding Automatic Mixing: A Subtask-Oriented Analysis of Two-Stage Mixing System

Jinjie Shi, Wei Hua, Kunzhu Xie +3

Automatic mixing transforms multitrack recordings into perceptually coherent, balanced, and aesthetically consistent mixes. In real-world production, this task is challenging due t…

cs.CV2026

SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition

Kunyuan Xie, Zhixi Cai, Kalin Stefanov

Subtle hand differences make sign language recognition challenging, yet many existing methods rely on encoders pretrained on generic action datasets that poorly capture such fine-g…

cs.SD2025

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…

cs.SD2025

FireRedTTS-1S: An Upgraded Streamable Foundation Text-to-Speech System

Hao-Han Guo, Yao Hu, Fei-Yu Shen +4

In this work, we upgrade FireRedTTS to a new version, FireRedTTS-1S, a high-quality streaming foundation text-to-speech system. FireRedTTS-1S achieves streaming speech generation v…

cs.SD2024★ 1 cited

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…