most citedEDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

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

collaborators

5 papers

cs.SD2026

Luna-TTS Family Technical Report

Feng Yin, Shuai Shi, Junjie Zheng +19

Modern text-to-speech (TTS) is dominated by autoregressive (AR) codec language models, whose left-to-right decoding brings latency that grows with utterance length, error accumulat…

cs.SD2026

UrgentMOS: Unified Multi-Metric and Preference Learning for Robust Speech Quality Assessment

Wei Wang, Wangyou Zhang, Chenda Li +12

Automatic speech quality assessment has become increasingly important as modern speech generation systems continue to advance, while human listening tests remain costly, time-consu…

cs.SD2026

DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice

Leying Zhang, Tingxiao Zhou, Haiyang Sun +2

While modern Text-to-Speech (TTS) systems achieve high fidelity for read-style speech, they struggle to generate Autonomous Sensory Meridian Response (ASMR), a specialized, low-int…

math.OC2024

Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity

Xing Shen, Runyuan Cai, Mengxiao Bi +1

The linear conjugate gradient method is widely used in physical simulation, particularly for solving large-scale linear systems derived from Newton's method. The nonlinear conjugat…

cs.CV2024★ 1 cited

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

Shuai Tan, Bin Ji, Mengxiao Bi +1

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head genera…