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Given a sound field generated by a sparse distribution of impulse image sources, can the continuous 3D positions and amplitudes of these sources be recovered from discrete, bandlimited measurements of the field at a finite set of locations,…

Sound · Computer Science 2022-12-08 Tom Sprunck , Yannick Privat , Cédric Foy , Antoine Deleforge

Learning from audio-visual data offers many possibilities to express correspondence between the audio and visual content, similar to the human perception that relates aural and visual information. In this work, we present a method for…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-23 Shanshan Wang , Archontis Politis , Annamaria Mesaros , Tuomas Virtanen

Sound reflections and late reverberation alter energetic and binaural cues of a target source, thereby affecting it's detection in noise. Two experiments investigated detection of harmonic complex tones, centered around 500 Hz, in noise in…

Audio and Speech Processing · Electrical Eng. & Systems 2021-07-01 Norbert Kolotzek , Pierre G. Aublin , Bernhard U. Seeber

Photothermal-Induced Resonance (PTIR) is increasingly used in the measurement of infrared absorption spectra of sub-micrometer objects. The technique measures IR absorption spectra by relying on the photothermal effect induced by a rapid…

Chemical Physics · Physics 2019-11-28 Luca Quaroni

In this paper we present a novel algorithm for improved block-online supervised acoustic system identification in adverse noise scenarios by exploiting prior knowledge about the space of Room Impulse Responses (RIRs). The method is based on…

Audio and Speech Processing · Electrical Eng. & Systems 2020-07-06 Thomas Haubner , Andreas Brendel , Walter Kellermann

The materials of surfaces in a room play an important room in shaping the auditory experience within them. Different materials absorb energy at different levels. The level of absorption also varies across frequencies. This paper…

Audio and Speech Processing · Electrical Eng. & Systems 2019-10-29 Constantinos Papayiannis , Christine Evers , Patrick A. Naylor

Every sound that we hear is the result of successive convolutional operations (e.g. room acoustics, microphone characteristics, resonant properties of the instrument itself, not to mention characteristics and limitations of the sound…

Sound · Computer Science 2022-08-18 Prateek Verma , Jonathan Berger

Learning-based methods have become ubiquitous in speaker localization. Existing systems rely on simulated training sets for the lack of sufficiently large, diverse and annotated real datasets. Most room acoustics simulators used for this…

Sound · Computer Science 2023-05-26 Prerak Srivastava , Antoine Deleforge , Archontis Politis , Emmanuel Vincent

Simulation involves predicting responses of a physical system. In this article, we simulate opto-acoustic signals generated in a three-dimensional volume due to absorption of an optical pulse. A separable computational model is developed…

Computational Physics · Physics 2021-07-22 Jason Zalev , Michael C. Kolios

Cochlear implants (CIs) have been developed to the point where they can restore hearing and speech understanding in a large proportion of patients. Although spatial hearing is central to controlling and directing attention and to enabling…

Mixed-reality (MR) soundscapes blend real-world sound with virtual audio from hearing devices, presenting intricate auditory information that is hard to discern and differentiate. This is particularly challenging for blind or visually…

Human-Computer Interaction · Computer Science 2024-05-28 Ruei-Che Chang , Chia-Sheng Hung , Bing-Yu Chen , Dhruv Jain , Anhong Guo

Reinforcement Learning with Verifiable Rewards (RLVR) improves LLM reasoning, yet growing evidence indicates an exploration ceiling: it often reweights existing solution traces rather than discovering new strategies, limiting gains under…

Machine Learning · Computer Science 2026-03-03 Bizhe Bai , Xinyue Wang , Peng Ye , Tao Chen

The use of spatial information with multiple microphones can improve far-field automatic speech recognition (ASR) accuracy. However, conventional microphone array techniques degrade speech enhancement performance when there is an array…

Audio and Speech Processing · Electrical Eng. & Systems 2021-12-23 Kenichi Kumatani , Minhua Wu , Shiva Sundaram , Nikko Strom , Bjorn Hoffmeister

This article presents the results of a study based on a group of participants' interactions with an experimental sound installation at the National Science and Media Museum in Bradford, UK. The installation used audio augmented reality to…

Human-Computer Interaction · Computer Science 2024-12-12 Laurence Cliffe , James Mansell , Chris Greenhalgh , Adrian Hazzard

Language barriers in virtual meetings remain a persistent challenge to global collaboration. Real-time translation offers promise, yet current integrations often neglect perceptual cues. This study investigates how spatial audio rendering…

Human-Computer Interaction · Computer Science 2025-11-13 Margarita Geleta , Hong Sodoma , Hannes Gamper

Accurate far-field speech datasets are critical for tasks such as automatic speech recognition (ASR), dereverberation, speech enhancement, and source separation. However, current datasets are limited by the trade-off between acoustic…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-28 Sarabeth S. Mullins , Georg Götz , Eric Bezzam , Steven Zheng , Daniel Gert Nielsen

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…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Kranti Kumar Parida , Siddharth Srivastava , Gaurav Sharma

Speech audio quality is subject to degradation caused by an acoustic environment and isotropic ambient and point noises. The environment can lead to decreased speech intelligibility and loss of focus and attention by the listener. Basic…

Audio and Speech Processing · Electrical Eng. & Systems 2022-04-05 Paula Sánchez López , Paul Callens , Milos Cernak

The sampling of sound fields involves the measurement of spatially dependent room impulse responses, where the Nyquist-Shannon sampling theorem applies in both the temporal and spatial domain. Therefore, sampling inside a volume of interest…

Sound · Computer Science 2016-09-30 Fabrice Katzberg , Radoslaw Mazur , Marco Maass , Philipp Koch , Alfred Mertins

Blind estimation of acoustic room parameters such as the reverberation time $T_\mathrm{60}$ and the direct-to-reverberation ratio ($\mathrm{DRR}$) is still a challenging task, especially in case of blind estimation from reverberant speech…

Sound · Computer Science 2015-10-16 Feifei Xiong , Stefan Goetze , Bernd T. Meyer
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