AI-IoT platform for blind estimation of room acoustic parameters based on deep neural networks
J Lopez-Ballester, S Felici-Castell… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Room acoustical parameters have been widely used to describe sound perception in indoor
environments, such as concert halls, conference rooms, etc. Many of them have been …
environments, such as concert halls, conference rooms, etc. Many of them have been …
Joint blind room acoustic characterization from speech and music signals using convolutional recurrent neural networks
P Callens, M Cernak - arXiv preprint arXiv:2010.11167, 2020 - arxiv.org
Acoustic environment characterization opens doors for sound reproduction innovations,
smart EQing, speech enhancement, hearing aids, and forensics. Reverberation time, clarity …
smart EQing, speech enhancement, hearing aids, and forensics. Reverberation time, clarity …
Ten questions concerning Architectural Acoustics
L Shtrepi, F Aletta, L Aspöck, A Astolfi, J Fels… - Building and …, 2024 - Elsevier
Building and room acoustics are relatively modern architectural and engineering disciplines.
Nevertheless, acoustics was also a concern for buildings in the past, eg, in theatres in …
Nevertheless, acoustics was also a concern for buildings in the past, eg, in theatres in …
Sensory and perceptual decisional processes underlying the perception of reverberant auditory environments
HG García-Lázaro, S Teng - eneuro, 2024 - eneuro.org
Reverberation, a ubiquitous feature of real-world acoustic environments, exhibits statistical
regularities that human listeners leverage to self-orient, facilitate auditory perception, and …
regularities that human listeners leverage to self-orient, facilitate auditory perception, and …
Can We Identify Unknown Audio Recording Environments in Forensic Scenarios?
Audio recordings may provide important evidence in criminal investigations. One such case
is the forensic association of the recorded audio to the recording location. For example, a …
is the forensic association of the recorded audio to the recording location. For example, a …
Room identification with personal voice assistants
Abstract Personal Voice Assistants (PVAs) are used to interact with digital environments and
computer systems using speech. In this work we describe how to identify the room in which …
computer systems using speech. In this work we describe how to identify the room in which …
RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification
J Bitterman, D Levi, HH Diamandi, S Gannot… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper focuses on room fingerprinting, a task involving the analysis of an audio
recording to determine the specific volume and shape of the room in which it was captured …
recording to determine the specific volume and shape of the room in which it was captured …
[HTML][HTML] GIR dataset: A geometry and real impulse response dataset for machine learning research in acoustics
Acoustics play a significant role in our everyday lives, influencing our communication, well-
being, and perception of space. Fast and precise acoustics simulation is crucial for the …
being, and perception of space. Fast and precise acoustics simulation is crucial for the …
Disentangled estimation of reverberation parameters using temporal convolutional networks
Reverberation is ubiquitous in everyday listening environments, from meeting rooms to
concert halls and recording studios. While reverberation is usually described by the …
concert halls and recording studios. While reverberation is usually described by the …
Data augmentation of room classifiers using generative adversarial networks
The classification of acoustic environments allows for machines to better understand the
auditory world around them. The use of deep learning in order to teach machines to …
auditory world around them. The use of deep learning in order to teach machines to …