Speed-Aware Audio-Driven Speech Animation using Adaptive Windows

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Graphics Pub Date : 2024-08-31 DOI:10.1145/3691341
Sunjin Jung, Yeongho Seol, Kwanggyoon Seo, Hyeonho Na, Seonghyeon Kim, Vanessa Tan, Junyong Noh
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Abstract

We present a novel method that can generate realistic speech animations of a 3D face from audio using multiple adaptive windows. In contrast to previous studies that use a fixed size audio window, our method accepts an adaptive audio window as input, reflecting the audio speaking rate to use consistent phonemic information. Our system consists of three parts. First, the speaking rate is estimated from the input audio using a neural network trained in a self-supervised manner. Second, the appropriate window size that encloses the audio features is predicted adaptively based on the estimated speaking rate. Another key element lies in the use of multiple audio windows of different sizes as input to the animation generator: a small window to concentrate on detailed information and a large window to consider broad phonemic information near the center frame. Finally, the speech animation is generated from the multiple adaptive audio windows. Our method can generate realistic speech animations from in-the-wild audios at any speaking rate, i.e., fast raps, slow songs, as well as normal speech. We demonstrate via extensive quantitative and qualitative evaluations including a user study that our method outperforms state-of-the-art approaches.
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使用自适应窗口的速度感知音频驱动语音动画
我们提出了一种新颖的方法,可以利用多个自适应窗口从音频生成逼真的三维人脸语音动画。与以往使用固定大小音频窗口的研究不同,我们的方法接受自适应音频窗口作为输入,反映音频说话速度,以使用一致的音位信息。我们的系统由三部分组成。首先,使用以自我监督方式训练的神经网络从输入音频中估计说话速度。其次,根据估算出的语速,自适应地预测出包含音频特征的适当窗口大小。另一个关键因素在于使用多个不同大小的音频窗口作为动画生成器的输入:小窗口集中于细节信息,大窗口则考虑中心帧附近的广泛音位信息。最后,由多个自适应音频窗口生成语音动画。我们的方法可以从任何语速的现场音频中生成逼真的语音动画,如快速说唱、慢速歌曲以及正常语音。我们通过大量定量和定性评估(包括用户研究)证明,我们的方法优于最先进的方法。
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来源期刊
ACM Transactions on Graphics
ACM Transactions on Graphics 工程技术-计算机:软件工程
CiteScore
14.30
自引率
25.80%
发文量
193
审稿时长
12 months
期刊介绍: ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.
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