Multiclass classification of faulty industrial machinery using sound samples
L Gantert, T Zeffiro, M Sammarco… - … Applications of Artificial …, 2024 - Elsevier
The intelligent diagnosis of faults in industrial assets helps avoid unexpected interruptions of
critical services. Thus, machine learning systems for monitoring machinery have a …
critical services. Thus, machine learning systems for monitoring machinery have a …
A parametric survey on polyphonic sound event detection and localization
S Mohmmad, SK Sanampudi - Multimedia Tools and Applications, 2024 - Springer
With the rapid growth in technology, everything will become automatic. Automatic detection
is needed in health, security, smart homes, smart cities, and various environments. Sound is …
is needed in health, security, smart homes, smart cities, and various environments. Sound is …
[PDF][PDF] Synthetic training set generation using text-to-audio models for environmental sound classification
F Ronchini, L Comanducci… - arXiv preprint arXiv …, 2024 - dcase.community
In recent years, text-to-audio models have revolutionized the field of automatic audio
generation. This paper investigates their application in generating synthetic datasets for …
generation. This paper investigates their application in generating synthetic datasets for …
An event-scene cooperative analysis network with dual-stream attention convolution module and soft parameter-sharing
H Zhang, M Wu, X Cai, W Liu - Applied Acoustics, 2024 - Elsevier
Sound event detection (SED) and acoustic scene classification (ASC) are critical tasks in
computational environmental sound scene analysis. Both exhibit significant potential across …
computational environmental sound scene analysis. Both exhibit significant potential across …
A Novel Dynamic Recognition Method of Rock Burst Precursor Information Based on Adaptive Denoising and Object Detection
S Zhao, J Wang, E Wang, Q Zhang, H Yang… - Mining, Metallurgy & …, 2024 - Springer
Acoustic emission (AE) and electromagnetic radiation (EMR) can reflect the precursor
information of rock burst and play important roles in rock burst monitoring, early warning …
information of rock burst and play important roles in rock burst monitoring, early warning …
Edge computing for driving safety: evaluating deep learning models for cost-effective sound event detection
This paper addresses road safety concerns by investigating low-cost solutions for sound
event detection (SED) tailored to driving scenarios. While advanced technologies like deep …
event detection (SED) tailored to driving scenarios. While advanced technologies like deep …
Synthesizing Soundscapes: Leveraging Text-to-Audio Models for Environmental Sound Classification
In the past few years, text-to-audio models have emerged as a significant advancement in
automatic audio gener-ation. Although they represent impressive technological progress …
automatic audio gener-ation. Although they represent impressive technological progress …