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Given an arbitrary face image and an arbitrary speech clip, the proposed work attempts to generating the talking face video with accurate lip synchronization while maintaining smooth transition of both lip and facial movement over the…

Computer Vision and Pattern Recognition · Computer Science 2019-07-29 Yang Song , Jingwen Zhu , Dawei Li , Xiaolong Wang , Hairong Qi

Lip-to-speech involves generating a natural-sounding speech synchronized with a soundless video of a person talking. Despite recent advances, current methods still cannot produce high-quality speech with high levels of intelligibility for…

Audio and Speech Processing · Electrical Eng. & Systems 2024-03-29 Yochai Yemini , Aviv Shamsian , Lior Bracha , Sharon Gannot , Ethan Fetaya

In this paper, we propose a novel text-based talking-head video generation framework that synthesizes high-fidelity facial expressions and head motions in accordance with contextual sentiments as well as speech rhythm and pauses. To be…

Computer Vision and Pattern Recognition · Computer Science 2021-05-10 Lincheng Li , Suzhen Wang , Zhimeng Zhang , Yu Ding , Yixing Zheng , Xin Yu , Changjie Fan

Creating realistic or stylized facial and lip sync animation is a tedious task. It requires lot of time and skills to sync the lips with audio and convey the right emotion to the character's face. To allow animators to spend more time on…

Graphics · Computer Science 2024-06-03 Bastien Arcelin , Nicolas Chaverou

We present FlashLips, a two-stage, mask-free lip-sync system that decouples lips control from rendering and achieves real-time performance, with our U-Net variant running at over 100 FPS on a single GPU, while matching the visual quality of…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Andreas Zinonos , Michał Stypułkowski , Antoni Bigata , Stavros Petridis , Maja Pantic , Nikita Drobyshev

Existing lip-sync deepfake detectors rely on pixel artifacts or audio-visual correspondence, and both fail under generator or language shift because the features they learn are tied to the training distribution. We take a different…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Hao Chen , Junnan Xu

Audio-driven lip sync has recently drawn significant attention due to its widespread application in the multimedia domain. Individuals exhibit distinct lip shapes when speaking the same utterance, attributed to the unique speaking styles of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-19 Weizhi Zhong , Jichang Li , Yinqi Cai , Ming Li , Feng Gao , Liang Lin , Guanbin Li

While neural networks have been employed to handle several different text-to-speech tasks, ours is the first system to use neural networks throughout, for both linguistic and acoustic processing. We divide the text-to-speech task into three…

Neural and Evolutionary Computing · Computer Science 2016-11-17 Orhan Karaali , Gerald Corrigan , Noel Massey , Corey Miller , Otto Schnurr , Andrew Mackie

Vision-guided speech generation aims to produce authentic speech from facial appearance or lip motions without relying on auditory signals, offering significant potential for applications such as dubbing in filmmaking and assisting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Jiaxin Ye , Hongming Shan

We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often produce disembodied "talking heads" akin to a video conference…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Mengyi Shan , Shouchieh Chang , Ziqian Bai , Shichen Liu , Yinda Zhang , Luchuan Song , Rohit Pandey , Sean Fanello , Zeng Huang

In this study, we propose a deep neural network for reconstructing intelligible speech from silent lip movement videos. We use auditory spectrogram as spectral representation of speech and its corresponding sound generation method resulting…

Computer Vision and Pattern Recognition · Computer Science 2017-10-27 Hassan Akbari , Himani Arora , Liangliang Cao , Nima Mesgarani

Lip-to-Speech (Lip2Speech) synthesis, which predicts corresponding speech from talking face images, has witnessed significant progress with various models and training strategies in a series of independent studies. However, existing studies…

Multimedia · Computer Science 2023-05-25 Zheng-Yan Sheng , Yang Ai , Zhen-Hua Ling

This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target application is the lip reading of several keywords for…

Recent developments in voice cloning and talking head generation demonstrate impressive capabilities in synthesizing natural speech and realistic lip synchronization. Current methods typically require and are trained on large scale datasets…

Sound · Computer Science 2025-09-17 Javeria Amir , Farwa Attaria , Mah Jabeen , Umara Noor , Zahid Rashid

In this paper we present the first model for directly synthesizing fluent, natural-sounding spoken audio captions for images that does not require natural language text as an intermediate representation or source of supervision. Instead, we…

Computation and Language · Computer Science 2021-01-01 Wei-Ning Hsu , David Harwath , Christopher Song , James Glass

Audio-driven talking face generation is a challenging task in digital communication. Despite significant progress in the area, most existing methods concentrate on audio-lip synchronization, often overlooking aspects such as visual quality,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Fatemeh Nazarieh , Zhenhua Feng , Diptesh Kanojia , Muhammad Awais , Josef Kittler

We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synced lip shapes, realistic head poses, and eye blinks.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Dongchan Min , Minyoung Song , Eunji Ko , Sung Ju Hwang

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous studies either require long-term data for training or…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Jiazhi Guan , Zhanwang Zhang , Hang Zhou , Tianshu Hu , Kaisiyuan Wang , Dongliang He , Haocheng Feng , Jingtuo Liu , Errui Ding , Ziwei Liu , Jingdong Wang

Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Kim Sung-Bin , Lee Chae-Yeon , Gihun Son , Oh Hyun-Bin , Janghoon Ju , Suekyeong Nam , Tae-Hyun Oh

Speech production is a dynamic procedure, which involved multi human organs including the tongue, jaw and lips. Modeling the dynamics of the vocal tract deformation is a fundamental problem to understand the speech, which is the most common…

Audio and Speech Processing · Electrical Eng. & Systems 2021-06-23 Haiyang Liu , Jihan Zhang