[HTML][HTML] Machine learning in acoustics: Theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …
communications to ocean and Earth science. We survey the recent advances and …
End-to-end classification of reverberant rooms using dnns
C Papayiannis, C Evers… - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
Reverberation is present in our workplaces, our homes, concert halls and theatres. This
article investigates how deep learning can use the effect of reverberation on speech to …
article investigates how deep learning can use the effect of reverberation on speech to …
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 …
Sparse parametric modeling of the early part of acoustic impulse responses
C Papayiannis, C Evers… - 2017 25th European Signal …, 2017 - ieeexplore.ieee.org
Acoustic channels are typically described by their Acoustic Impulse Response (AIR) as a
Moving Average (MA) process. Such AIRs are often considered in terms of their early and …
Moving Average (MA) process. Such AIRs are often considered in terms of their early and …
A comparative analysis of classifiers and feature sets for acoustic environment classification
Artifacts embedded in an audio recording can provide valuable clues about an acoustic
environment in which the audio is recorded. This paper presents findings of two parallel …
environment in which the audio is recorded. This paper presents findings of two parallel …
Room identification using frequency dependence of spectral decay statistics
A method for room identification is proposed based on the reverberation properties of
multichannel speech recordings. The approach exploits the dependence of spectral decay …
multichannel speech recordings. The approach exploits the dependence of spectral decay …
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 …