Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
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 …
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 …
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 …