activity
20242026
most citedMIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Fish Audio Drama 3 Technical Report

Dawei Han, Shidong Li, Shijia Liao +13

We introduce Fish Audio Drama 3, an open-source speech generation model that turns text into directed performances, built on a 35B-parameter mixture-of-experts backbone that activa…

cs.SD2026

Fish Audio S2 Technical Report

Shijia Liao, Yuxuan Wang, Songting Liu +11

We introduce Fish Audio S2, an open-sourced text-to-speech system featuring multi-speaker, multi-turn generation, and, most importantly, instruction-following control via natural-l…

cs.SD2025

FCPE: A Fast Context-based Pitch Estimation Model

Yuxin Luo, Ruoyi Zhang, Lu-Chuan Liu +2

Pitch estimation (PE) in monophonic audio is crucial for MIDI transcription and singing voice conversion (SVC), but existing methods suffer significant performance degradation unde…

cs.SD2025★ 2 cited

MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling

Yifan Cheng, Ruoyi Zhang, Jiatong Shi

Acquiring large-scale emotional speech data with strong consistency remains a challenge for speech synthesis. This paper presents MIKU-PAL, a fully automated multimodal pipeline fo…

cs.SD2024★ 1 cited

Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis

Shijia Liao, Yuxuan Wang, Tianyu Li +4

Text-to-Speech (TTS) systems face ongoing challenges in processing complex linguistic features, handling polyphonic expressions, and producing natural-sounding multilingual speech…