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相关论文: Visually Informed Binaural Audio Generation withou…

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Stereophonic audio is an indispensable ingredient to enhance human auditory experience. Recent research has explored the usage of visual information as guidance to generate binaural or ambisonic audio from mono ones with stereo supervision.…

计算机视觉与模式识别 · 计算机科学 2020-07-21 Hang Zhou , Xudong Xu , Dahua Lin , Xiaogang Wang , Ziwei Liu

Binaural audio gives the listener an immersive experience and can enhance augmented and virtual reality. However, recording binaural audio requires specialized setup with a dummy human head having microphones in left and right ears. Such a…

计算机视觉与模式识别 · 计算机科学 2021-11-17 Kranti Kumar Parida , Siddharth Srivastava , Gaurav Sharma

Despite progress in video-to-audio generation, the field focuses predominantly on mono output, lacking spatial immersion. Existing binaural approaches remain constrained by a two-stage pipeline that first generates mono audio and then…

计算机视觉与模式识别 · 计算机科学 2025-12-03 Mengchen Zhang , Qi Chen , Tong Wu , Zihan Liu , Dahua Lin

Binaural audio gives the listener the feeling of being in the recording place and enhances the immersive experience if coupled with AR/VR. But the problem with binaural audio recording is that it requires a specialized setup which is not…

声音 · 计算机科学 2021-08-12 Kranti Kumar Parida , Siddharth Srivastava , Neeraj Matiyali , Gaurav Sharma

Binaural stereo audio is recorded by imitating the way the human ear receives sound, which provides people with an immersive listening experience. Existing approaches leverage autoencoders and directly exploit visual spatial information to…

声音 · 计算机科学 2023-11-15 Zhaojian Li , Bin Zhao , Yuan Yuan

Human perceives rich auditory experience with distinct sound heard by ears. Videos recorded with binaural audio particular simulate how human receives ambient sound. However, a large number of videos are with monaural audio only, which…

声音 · 计算机科学 2021-05-04 Yan-Bo Lin , Yu-Chiang Frank Wang

Binaural audio provides a listener with 3D sound sensation, allowing a rich perceptual experience of the scene. However, binaural recordings are scarcely available and require nontrivial expertise and equipment to obtain. We propose to…

计算机视觉与模式识别 · 计算机科学 2019-04-10 Ruohan Gao , Kristen Grauman

Binaural audio delivers spatial cues essential for immersion, yet most consumer videos are monaural due to capture constraints. We introduce SIREN, a visually guided mono to binaural framework that explicitly predicts left and right…

声音 · 计算机科学 2026-04-01 Mingyeong Song , Seoyeon Ko , Junhyug Noh

In multimedia applications such as films and video games, spatial audio techniques are widely employed to enhance user experiences by simulating 3D sound: transforming mono audio into binaural formats. However, this process is often complex…

多媒体 · 计算机科学 2025-02-14 Xiaojing Liu , Ogulcan Gurelli , Yan Wang , Joshua Reiss

Binaural audio plays a significant role in constructing immersive augmented and virtual realities. As it is expensive to record binaural audio from the real world, synthesizing them from mono audio has attracted increasing attention. This…

音频与语音处理 · 电气工程与系统科学 2022-11-30 Yichong Leng , Zehua Chen , Junliang Guo , Haohe Liu , Jiawei Chen , Xu Tan , Danilo Mandic , Lei He , Xiang-Yang Li , Tao Qin , Sheng Zhao , Tie-Yan Liu

We present ZeroBAS, a neural method to synthesize binaural audio from monaural audio recordings and positional information without training on any binaural data. To our knowledge, this is the first published zero-shot neural approach to…

While video-to-audio generation has achieved remarkable progress in semantic and temporal alignment, most existing studies focus solely on these aspects, paying limited attention to the spatial perception and immersive quality of the…

计算机视觉与模式识别 · 计算机科学 2026-01-30 Yanan Wang , Linjie Ren , Zihao Li , Junyi Wang , Tian Gan

Binaural audio provides human listeners with an immersive spatial sound experience, but most existing videos lack binaural audio recordings. We propose an audio spatialization method that draws on visual information in videos to convert…

计算机视觉与模式识别 · 计算机科学 2021-11-23 Rishabh Garg , Ruohan Gao , Kristen Grauman

We present a learning-based approach for generating binaural audio from mono audio using multi-task learning. Our formulation leverages additional information from two related tasks: the binaural audio generation task and the flipped audio…

声音 · 计算机科学 2021-09-03 Sijia Li , Shiguang Liu , Dinesh Manocha

Humans can robustly recognize and localize objects by using visual and/or auditory cues. While machines are able to do the same with visual data already, less work has been done with sounds. This work develops an approach for scene…

声音 · 计算机科学 2022-03-01 Dengxin Dai , Arun Balajee Vasudevan , Jiri Matas , Luc Van Gool

For immersive applications, the generation of binaural sound that matches its visual counterpart is crucial to bring meaningful experiences to people in a virtual environment. Recent studies have shown the possibility of using neural…

声音 · 计算机科学 2023-05-22 Francesc Lluís , Vasileios Chatziioannou , Alex Hofmann

We introduce an approach to convert mono audio recorded by a 360 video camera into spatial audio, a representation of the distribution of sound over the full viewing sphere. Spatial audio is an important component of immersive 360 video…

声音 · 计算机科学 2018-09-10 Pedro Morgado , Nuno Vasconcelos , Timothy Langlois , Oliver Wang

State-of-the-art supervised stereo matching methods have achieved remarkable performance on various benchmarks. However, their generalization to real-world scenarios remains challenging due to the scarcity of annotated real-world stereo…

计算机视觉与模式识别 · 计算机科学 2025-07-30 Xianqi Wang , Hao Yang , Gangwei Xu , Junda Cheng , Min Lin , Yong Deng , Jinliang Zang , Yurui Chen , Xin Yang

Generating combined visual and auditory sensory experiences is critical for the consumption of immersive content. Recent advances in neural generative models have enabled the creation of high-resolution content across multiple modalities…

计算机视觉与模式识别 · 计算机科学 2025-07-08 Rishit Dagli , Shivesh Prakash , Robert Wu , Houman Khosravani

Humans can robustly recognize and localize objects by integrating visual and auditory cues. While machines are able to do the same now with images, less work has been done with sounds. This work develops an approach for dense semantic…

计算机视觉与模式识别 · 计算机科学 2020-03-10 Arun Balajee Vasudevan , Dengxin Dai , Luc Van Gool
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