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Acoustic-based machine condition monitoring—methods and challenges
The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …
vibration and performance monitoring techniques amongst others. In these approaches …
TLEFuzzyNet: fuzzy rank-based ensemble of transfer learning models for emotion recognition from human speeches
KK Sahoo, I Dutta, MF Ijaz, M Woźniak… - IEEE Access, 2021 - ieeexplore.ieee.org
Human speech is not only a verbose medium of communication but it also conveys
emotions. The past decade has seen a lot of research going on with speech data which …
emotions. The past decade has seen a lot of research going on with speech data which …
UAV platforms for data acquisition and intervention practices in forestry: towards more intelligent applications
Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in
recent decades and have great economic benefits. They are validated to be more appealing …
recent decades and have great economic benefits. They are validated to be more appealing …
[HTML][HTML] Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance
Acoustics based smart condition monitoring is a viable alternative to mechanical vibrations
or image-capture based predictive maintenance methods. In this study, a texture analysis …
or image-capture based predictive maintenance methods. In this study, a texture analysis …
An LSTM‐Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data
The compressors used in today's natural gas production industry have an essential role in
maintaining the production line operational. Each of the compressors' components has …
maintaining the production line operational. Each of the compressors' components has …
A New Acoustical Autonomous Method for Identifying Endangered Whale Calls: A Case Study of Blue Whale and Fin Whale
F Sattar - Sensors, 2023 - mdpi.com
In this paper, we study to improve acoustical methods to identify endangered whale calls
with emphasis on the blue whale (Balaenoptera musculus) and fin whale (Balaenoptera …
with emphasis on the blue whale (Balaenoptera musculus) and fin whale (Balaenoptera …
Recognition of Arabic accents from English spoken speech using deep learning approach
Accents, or changes in how different people speak the same word/sentence in the same
language, pose substantial communication issues in most spoken languages. This is a well …
language, pose substantial communication issues in most spoken languages. This is a well …
Cicada species recognition based on acoustic signals
Traditional methods used to identify and monitor insect species are time-consuming, costly,
and fully dependent on the observer's ability. This paper presents a deep learning-based …
and fully dependent on the observer's ability. This paper presents a deep learning-based …
Deep learning based urban sound classification and ambulance siren detector using spectrogram
D Pramanick, H Ansar, H Kumar… - 2021 12th …, 2021 - ieeexplore.ieee.org
An efficient sound classification algorithm can benefit a multitude of applications involving
home, wildlife, and residential surveillance, traffic regulation, medical monitoring etc. An …
home, wildlife, and residential surveillance, traffic regulation, medical monitoring etc. An …
Bionic study of distance-azimuth discrimination of multi-scattered point objects in bat bio-sonar
F Wang, M Chen - Bioinspiration & Biomimetics, 2024 - iopscience.iop.org
This paper presents a novel approach to enhance the discrimination capacity of multi-
scattered point objects in bat bio-sonar. A broadband interferometer mathematical model is …
scattered point objects in bat bio-sonar. A broadband interferometer mathematical model is …