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Anomalous sound detection with machine learning: A systematic review
EC Nunes - arxiv preprint arxiv:2102.07820, 2021 - arxiv.org
Anomalous sound detection (ASD) is the task of identifying whether the sound emitted from
an object is normal or anomalous. In some cases, early detection of this anomaly can …
an object is normal or anomalous. In some cases, early detection of this anomaly can …
Spectrogram-based classification on vehicles with modified loud exhausts via convolutional neural networks
KW Cheng, HM Chow, SY Li, TW Tsang, HLB Ng… - Applied Acoustics, 2023 - Elsevier
Hong Kong is one of the densest cities in the world with busy roads close to residential
areas. Excessive noise emitted by vehicles with modified loud exhausts causes further noise …
areas. Excessive noise emitted by vehicles with modified loud exhausts causes further noise …
Sad: Sensor-based anomaly detection system for smart junctions
P Mohandas - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The low cost and advancement of sensor technology have long proven to be invaluable in
their use in all areas of science. Several video-based methods have already been …
their use in all areas of science. Several video-based methods have already been …
[HTML][HTML] Short-Term Entropy of Signal Energy Used for Effective Detecting of Weak Gunshots in Noisy Environments
M Sigmund - Sensors, 2024 - mdpi.com
Conventional gunshot detection systems can quickly and reliably detect gunshots in the
area where the acoustic sensors are placed. This paper presents the detection of weak …
area where the acoustic sensors are placed. This paper presents the detection of weak …
Mosaic: A classical machine learning multi-classifier based approach against deep learning classifiers for embedded sound classification
Environmental Sound Recognition has become a relevant application for smart cities. Such
an application, however, demands the use of trained machine learning classifiers in order to …
an application, however, demands the use of trained machine learning classifiers in order to …
On the generalizability of two-dimensional convolutional neural networks for fake speech detection
C Papastergiopoulos, A Vafeiadis… - Proceedings of the 1st …, 2022 - dl.acm.org
The powerful capabilities of modern text-to-speech methods to produce synthetic computer
generated voice, can pose a problem in terms of discerning real from fake audio. In the …
generated voice, can pose a problem in terms of discerning real from fake audio. In the …
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis
In real-world applications, audio surveillance is often performed by large models that can
detect many types of anomalies. However, typical approaches are based on centralized …
detect many types of anomalies. However, typical approaches are based on centralized …
Acoustic Sensors and Audio Signal Processing in Intelligent Transportation Systems: A Survey
The effectiveness of intelligent transportation systems (ITS) strongly relies on the quality of
input data provided by traffic monitoring sensors. Conventional traffic sensors such as …
input data provided by traffic monitoring sensors. Conventional traffic sensors such as …
[HTML][HTML] Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration
of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage …
of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage …
Investigating the effectiveness of speaker embeddings for shout intensity prediction
T Fukumori, T Ishida… - 2023 Asia Pacific Signal …, 2023 - ieeexplore.ieee.org
The automatic detection of shouted speeches has attracted much research attention as a
core technology of audio surveillance systems. A common strategy in the past literature has …
core technology of audio surveillance systems. A common strategy in the past literature has …