IR-GAN: Room impulse response generator for far-field speech recognition

A Ratnarajah, Z Tang, D Manocha - arXiv preprint arXiv:2010.13219, 2020 - arxiv.org
We present a Generative Adversarial Network (GAN) based room impulse response
generator (IR-GAN) for generating realistic synthetic room impulse responses (RIRs). IR …

A survey on acoustic positioning systems for location-based services

J Aparicio, FJ Álvarez, A Hernandez… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Positioning systems have become increasingly popular in the last decade for location-based
services, such as navigation, and asset tracking and management. As opposed to outdoor …

Online reverberation time and clarity estimation in dynamic acoustic conditions

P Götz, C Tuna, A Walther, EAP Habets - The Journal of the Acoustical …, 2023 - pubs.aip.org
Previously proposed methods for estimating acoustic parameters from reverberant, noisy
speech signals exhibit insufficient performance under changing acoustic conditions. A data …

SoundLoc: Accurate room-level indoor localization using acoustic signatures

R Jia, M Jin, Z Chen, CJ Spanos - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Room-level indoor localization is of particular interest in the energy-efficient smart building,
as services, such as lighting and ventilation, can be targeted towards individual rooms …

Blind room parameter estimation using multiple multichannel speech recordings

P Srivastava, A Deleforge… - 2021 IEEE Workshop on …, 2021 - ieeexplore.ieee.org
Knowing the geometrical and acoustical parameters of a room may benefit applications such
as audio augmented reality, speech dereverberation or audio forensics. In this paper, we …

Environment classification via blind roomprints estimation

M Baum, L Cuccovillo, A Yaroshchuk… - … Forensics and Security …, 2022 - ieeexplore.ieee.org
In this paper we present a novel approach for environment classification for speech
recordings, which does not require the selection of decaying reverberation tails. It is based …

Forensic and anti-forensic analysis of indoor/outdoor classifiers based on acoustic clues

M Mascia, A Canclini, F Antonacci… - 2015 23rd European …, 2015 - ieeexplore.ieee.org
This paper addresses the problem of identifying the class of the environment where an
audio recording was taken. We focus on distinguishing between indoor and outdoor speech …

Room identification using roomprints

AH Moore, M Brookes, PA Naylor - Audio Engineering Society Conference …, 2014 - aes.org
Identification and verification of the location in which a recording was made are important yet
understudied topics in audio forensics. The recently introduced concept of 'roomprints' …

Anti-forensics of environmental-signature-based audio splicing detection and its countermeasure via rich-features classification

H Zhao, Y Chen, R Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Numerous methods for detecting audio splicing have been proposed. Environmental-
signature-based methods are considered to be the most effective forgery detection methods …

Noise signature identification using mobile phones for indoor localization

S King, S Pinder, D Fernandez-Lanvin… - Multimedia Tools and …, 2024 - Springer
Indoor localization is still nowadays a challenge with room to improve. Even though there
are many different approaches that have evidenced as effective, most of them require …