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 …
A review of deep learning based methods for acoustic scene classification
J Abeßer - Applied Sciences, 2020 - mdpi.com
The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …
recordings has constantly increased over the last few years. This was mainly stimulated by …
Anomalous sound event detection: A survey of machine learning based methods and applications
With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …
gaining importance in a field traditionally dominated by video. In particular, anomalous …
A comprehensive review of polyphonic sound event detection
One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …
kinds of sound events in the environment. With the technologies and hardware advances …
Embed2sym-scalable neuro-symbolic reasoning via clustered embeddings
Neuro-symbolic reasoning approaches proposed in recent years combine a neural
perception component with a symbolic reasoning component to solve a downstream task. By …
perception component with a symbolic reasoning component to solve a downstream task. By …
A survey on preprocessing and classification techniques for acoustic scene
There are lots of research papers for ASC, and in recent years it is rapidly increasing.
DCASE also provides different types of competition for the submission of several papers to …
DCASE also provides different types of competition for the submission of several papers to …
Bioacoustics data analysis–A taxonomy, survey and open challenges
Biodiversity monitoring has become a critical task for governments and ecological research
agencies for reducing significant loss of animal species. Existing monitoring methods are …
agencies for reducing significant loss of animal species. Existing monitoring methods are …
Radio frequency signal identification using transfer learning based on LSTM
X Wang, Y Zhang, H Zhang, Y Li, X Wei - Circuits, Systems, and Signal …, 2020 - Springer
Radio frequency distinct native attribute (RF-DNA) technology is very important in
distinguishing RF devices. This paper presents a new method for distinguishing RF devices …
distinguishing RF devices. This paper presents a new method for distinguishing RF devices …
[HTML][HTML] Relevance of phase information for object classification in automotive ultrasonic sensing using convolutional neural networks
Automotive ultrasonic sensors come into play for close-range surround sensing in parking
and maneuvering situations. In addition to ultrasonic ranging, classifying obstacles based on …
and maneuvering situations. In addition to ultrasonic ranging, classifying obstacles based on …
[HTML][HTML] Convolutional neural network with data augmentation for object classification in automotive ultrasonic sensing
Today's low-cost automotive ultrasonic sensors perform distance measurements of
obstacles within the close range of vehicles. For future parking assist systems and …
obstacles within the close range of vehicles. For future parking assist systems and …