activity
20232025
most citedBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

23 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

GRPOformer: Advancing Hyperparameter Optimization via Group Relative Policy Optimization

Haoxin Guo, Jiawen Pan, Weixin Zhai

Hyperparameter optimization (HPO) plays a critical role in improving model performance. Transformer-based HPO methods have shown great potential; however, existing approaches rely…

cs.CL2025

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement

Haotan Guo, Jianfei He, Jiayuan Ma +8

Phonetic Cloaking Replacement (PCR), defined as the deliberate use of homophonic or near-homophonic variants to hide toxic intent, has become a major obstacle to Chinese content mo…

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…

cs.LG2024★ 23 cited

BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Mateusz Łajszczak, Guillermo Cámbara, Yang Li +16

We introduce a text-to-speech (TTS) model called BASE TTS, which stands for ig daptive treamable TTS with mergent abilities. BASE TT…

cs.SD2023

Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition

Haoming Guo, Seth Z. Zhao, Jiachen Lian +2

Vocoder models have recently achieved substantial progress in generating authentic audio comparable to human quality while significantly reducing memory requirement and inference t…

cs.LG2023★ 1 cited

FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention

Ahan Gupta, Hao Guo, Yueming Yuan +2

Many efficient self-attention techniques have become prevalent since the inception of the transformer architecture. Two popular classes of these techniques a…