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Loudspeaker-based spatial audio reproduction schemes are increasingly used for evaluating hearing aids in complex acoustic conditions. To further establish the feasibility of this approach, this study investigated the interaction between…

Sound · Computer Science 2015-08-04 Giso Grimm , Stephan Ewert , Volker Hohmann

This paper introduces a new framework for supervised sound source localization referred to as virtually-supervised learning. An acoustic shoe-box room simulator is used to generate a large number of binaural single-source audio scenes.…

Sound · Computer Science 2017-03-21 Saurabh Kataria , Clément Gaultier , Antoine Deleforge

Blind acoustic parameter estimation consists in inferring the acoustic properties of an environment from recordings of unknown sound sources. Recent works in this area have utilized deep neural networks trained either partially or…

Sound · Computer Science 2022-07-20 Prerak Srivastava , Antoine Deleforge , Emmanuel Vincent

This paper proposes a new task called spatial voice conversion, which aims to convert a target voice while preserving spatial information and non-target signals. Traditional voice conversion methods focus on single-channel waveforms,…

While experimentation with synthetic stimuli in abstracted listening situations has a long standing and successful history in hearing research, an increased interest exists on closing the remaining gap towards real-life listening by…

Spatial audio is an essential medium to audiences for 3D visual and auditory experience. However, the recording devices and techniques are expensive or inaccessible to the general public. In this work, we propose a self-supervised audio…

Sound · Computer Science 2019-05-15 Yu-Ding Lu , Hsin-Ying Lee , Hung-Yu Tseng , Ming-Hsuan Yang

Spatial audio formats like Ambisonics are playback device layout-agnostic and well-suited for applications such as teleconferencing and virtual reality. Conventional Ambisonic encoding methods often rely on spherical microphone arrays for…

Audio and Speech Processing · Electrical Eng. & Systems 2024-09-17 Yue Qiao , Vinay Kothapally , Meng Yu , Dong Yu

Binaural reproduction is rapidly becoming a topic of great interest in the research community, especially with the surge of new and popular devices, such as virtual reality headsets, smart glasses, and head-tracked headphones. In order to…

Audio and Speech Processing · Electrical Eng. & Systems 2025-04-30 Lior Madmoni , Zamir Ben-Hur , Jacob Donley , Vladimir Tourbabin , Boaz Rafaely

Given an input sound signal and a target virtual sound source, sound spatialisation algorithms manipulate the signal so that a listener perceives it as though it were emitted from the target source. There exist several established…

Sound · Computer Science 2017-11-28 Ali Tarzan , Marco Alunno , Paolo Bientinesi

Immersive audio-visual perception relies on the spatial integration of both auditory and visual information which are heterogeneous sensing modalities with different fields of reception and spatial resolution. This study investigates the…

Audio and Speech Processing · Electrical Eng. & Systems 2020-03-17 Davide Berghi , Hanne Stenzel , Marco Volino , Adrian Hilton , Philip J. B. Jackson

Although 360\textdegree{} cameras ease the capture of panoramic footage, it remains challenging to add realistic 360\textdegree{} audio that blends into the captured scene and is synchronized with the camera motion. We present a method for…

Graphics · Computer Science 2018-05-15 Dingzeyu Li , Timothy R. Langlois , Changxi Zheng

The objective of the sound source localization task is to enable machines to detect the location of sound-making objects within a visual scene. While the audio modality provides spatial cues to locate the sound source, existing approaches…

Multimedia · Computer Science 2023-08-21 Sung Jin Um , Dongjin Kim , Jung Uk Kim

We introduce a novel auditory brain-computer interface (BCI) paradigm, Auditory Intention Decoding (AID), designed to enhance communication capabilities within the brain-AI interface (BAI) system EEGChat. AID enables users to select among…

Human-Computer Interaction · Computer Science 2025-04-22 Michal Robert Žák , Moritz Grosse-Wentrup

Speech separation approaches for single-channel, dry speech mixtures have significantly improved. However, real-world spatial and reverberant acoustic environments remain challenging, limiting the effectiveness of these approaches for…

Over the past few years, there has been a great deal of research on navigation tasks in indoor environments using deep reinforcement learning agents. Most of these tasks use only visual information in the form of first-person images to…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Haru Kondoh , Asako Kanezaki

This paper introduces a new paradigm for sound source lo-calization referred to as virtual acoustic space traveling (VAST) and presents a first dataset designed for this purpose. Existing sound source localization methods are either based…

Sound · Computer Science 2016-12-20 Clément Gaultier , Saurabh Kataria , Antoine Deleforge

Audio-visual speech enhancement (AVSE) has been found to be particularly useful at low signal-to-noise (SNR) ratios due to the immunity of the visual features to acoustic noise. However, a significant gap exists in AVSE methods tailored to…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-21 Danielle Yaffe , Ferdinand Campe , Prachi Sharma , Dorothea Kolossa , Boaz Rafaely

Ambisonics i.e., a full-sphere surround sound, is quintessential with 360-degree visual content to provide a realistic virtual reality (VR) experience. While 360-degree visual content capture gained a tremendous boost recently, the…

Sound · Computer Science 2019-08-20 Aakanksha Rana , Cagri Ozcinar , Aljoscha Smolic

Despite the rapid advances in Brain-computer Interfacing (BCI) and continuous effort to improve the accuracy of brain decoding systems, the urge for the systems to reconstruct the experiences of the users has been widely acknowledged. This…

Signal Processing · Electrical Eng. & Systems 2017-11-20 Pouya Ghaemmaghami

Non-line-of-sight localization in signal-deprived environments is a challenging yet pertinent problem. Acoustic methods in such predominantly indoor scenarios encounter difficulty due to the reverberant nature. In this study, we aim to…

Machine Learning · Computer Science 2024-04-03 Yi Di Yuan , Swee Liang Wong , Jonathan Pan