Results 91 to 100 of about 8,338,200 (223)
Robust Sound Event Classification using Deep Neural Networks [PDF]
, 2015 The automatic recognition of sound events by computers is an important aspect of emerging applications such as automated surveillance, machine hearing and auditory scene understanding.
Song, Yan +4 more
core +1 more source
Psychophysiology, Volume 63, Issue 10, October 2026.ABSTRACT Listeners' brains align when they attend to the same speech, but what determines how strongly they align is not well understood. We asked whether that alignment tracks the communicative relation between a listener and a message, manipulating it from the speaker's side and from the listener's, and bounding the account with a manipulation that ...
Barak Atia +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Snoring Sound Recognition Using Multi-Channel Spectrograms
Archives of AcousticsObstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-related breathing disorder. Snoring detection is a simple and non-invasive method. In many studies, the feature maps are obtained by applying a short-time Fourier transform
Ziqiang YE +3 more
doaj +1 more source
Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform
IEEE AccessRespiratory sounds serve as early indicators of lung diseases. The development of computer-aided classification systems has become a key enabler for timely diagnosis and treatment.
Fan Wang +4 more
semanticscholar +1 more source
Comparison results on the mel-spectrogram dataset.
Comparison results on the mel-spectrogram dataset.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
Acoustic emissions based structural diagnosis technique for steel details
ce/papers, Volume 9, Issue 2-3, Page 1817-1822, September 2026.Abstract Acoustic emissions (AE) are a non‐destructive testing technique used to detect micro‐cracks and defects in industrial structures, including areas that are difficult to inspect visually. In steel structures, welded joints are particularly critical, as they are prone to damage mechanisms such as yielding and high‐cycle fatigue in bridges.
Roberto Andreotti +5 more
wiley +1 more source
InformationAn important hurdle in medical diagnostics is the high-quality and interpretable classification of audio signals. In this study, we present an image-based representation of infant crying audio files to predict abnormal infant cries using a vision ...
Sari Masri +3 more
doaj +1 more source
Raw data in waveform and representation in spectrogram, mel-spectrogram, and mfcc form.
Raw data in waveform and representation in spectrogram, mel-spectrogram, and mfcc form.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
Ecology and Evolution, Volume 16, Issue 9, September 2026.This study presents an automated, few‐shot bird call classification pipeline designed to detect rare and critically endangered species using as few as one to three known vocalizations. Validated on both a simulated dataset and real‐world recordings of the Tooth‐Billed Pigeon, the model achieved high recall and accuracy, offering a practical tool for ...
Abhishek Jana +5 more
wiley +1 more source