Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer
Supervised learning methods have shown effectiveness in estimating spatial acoustic
parameters such as time difference of arrival, direct-to-reverberant ratio and reverberation …
parameters such as time difference of arrival, direct-to-reverberant ratio and reverberation …
A multi-room transition dataset for blind estimation of energy decay
We present an acoustic room impulse response dataset focusing on multi-room
environments characterized by complex geometries and acoustic conditions. The dataset is …
environments characterized by complex geometries and acoustic conditions. The dataset is …
Ten questions concerning Architectural Acoustics
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 …
A denoising-aided multi-task learning method for blind estimation of reverberation time
Y Zhang, J Sang, C Zheng, X Li - Measurement, 2024 - Elsevier
The noise in reverberant speech severely limits the estimation accuracy of reverberation
time T60 using current deep learning (DL) methods. To address this issue, this paper …
time T60 using current deep learning (DL) methods. To address this issue, this paper …
Blind Identification of Binaural Room Impulse Responses from Smart Glasses
Smart glasses are increasingly recognized as a key medium for augmented reality, offering
a hands-free platform with integrated microphones and non-ear-occluding loudspeakers to …
a hands-free platform with integrated microphones and non-ear-occluding loudspeakers to …
Blind Spatial Impulse Response Generation from Separate Room-and Scene-Specific Information
F Lluís, N Meyer-Kahlen - arXiv preprint arXiv:2409.14971, 2024 - arxiv.org
For audio in augmented reality (AR), knowledge of the users' real acoustic environment is
crucial for rendering virtual sounds that seamlessly blend into the environment. As acoustic …
crucial for rendering virtual sounds that seamlessly blend into the environment. As acoustic …
Blind Acoustic Parameter Estimation Through Task-Agnostic Embeddings Using Latent Approximations
We present a method for blind acoustic parameter estimation from single-channel
reverberant speech. The method is structured into three stages. In the first stage, a …
reverberant speech. The method is structured into three stages. In the first stage, a …
HOMULA-RIR: A Room Impulse Response Dataset for Teleconferencing and Spatial Audio Applications Acquired Through Higher-Order Microphones and Uniform …
In this paper, we present HOMULA-RIR, a dataset of room impulse responses (RIRs)
acquired using both higher-order microphones (HOMs) and a uniform linear array (ULA), in …
acquired using both higher-order microphones (HOMs) and a uniform linear array (ULA), in …
An end-to-end approach for blindly rendering a virtual sound source in an audio augmented reality environment
Audio augmented reality (AAR), a prominent topic in the field of audio, requires
understanding the listening environment of the user for rendering an authentic virtual …
understanding the listening environment of the user for rendering an authentic virtual …
Improvements in Blind Separation of Speech Signals in Reverberant Rooms
DSM Bahiano, MR Petraglia… - 2024 19th International …, 2024 - ieeexplore.ieee.org
Blindly separating multiple signals from mixed speech sources recorded within a
reverberant room is a difficult task, which still requires improvement to algorithms proposed …
reverberant room is a difficult task, which still requires improvement to algorithms proposed …