A source coding scheme for authenticating audio signal with capability of self-recovery and anti-synchronization counterfeiting attack
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08095-x
Abstract: Authenticating the veracity and integrity of digital media content is the most important application of fragile watermarking technique. Recently, fragile watermarking schemes for digital audio signals are developed to not only detect the malicious falsification,… read more here.
Keywords: self recovery; audio signal; synchronization counterfeiting; counterfeiting attack ... See more keywords
Audio signal analysis for tool wear monitoring in sheet metal stamping
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.09.014
Abstract: Abstract Stamping tool wear can significantly degrade product quality, and hence, online tool condition monitoring is a timely need in many manufacturing industries. Even though a large amount of research has been conducted employing different… read more here.
Keywords: audio signal; analysis; tool; tool wear ... See more keywords
Addressing data scarcity using audio signal augmentation and deep learning for bolt looseness prediction
Sign Up to like & getrecommendations! Published in 2024 at "Smart Materials and Structures"
DOI: 10.1088/1361-665x/ad5c24
Abstract: Deep learning models such as convolutional neural networks (CNNs) encounter challenges, including instability and overfitting, while predicting bolt looseness in data-scarce scenarios. In this study, we proposed a novel audio signal augmentation approach to classify… read more here.
Keywords: cnn models; bolt looseness; looseness; signal augmentation ... See more keywords
Graph Attention for Automated Audio Captioning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3266114
Abstract: State-of-the-art audio captioning methods typically use the encoder-decoder structure with pretrained audio neural networks (PANNs) as encoders for feature extraction. However, the convolution operation used in PANNs is limited in capturing the long-time dependencies within… read more here.
Keywords: automated audio; audio captioning; attention automated; graph attention ... See more keywords
Analysis of allophones based on audio signal recordings and parameterization
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.4987415
Abstract: The aim of this study is to develop an allophonic description of English plosive consonants based on recordings of 600 specially selected words. Allophonic variations addressed in the study may have two sources: positional and… read more here.
Keywords: audio signal; analysis; analysis allophones; allophones based ... See more keywords
Stereo I/O framework for audio signal processing on android platforms
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5036421
Abstract: Smartphones and tablets are attractive cost-effective solutions for implementing multi-channel audio signal processing algorithms. Modern smartphones and tablets have at least two microphones and requisite processing capabilities to perform real-time audio signal processing. However, it… read more here.
Keywords: audio signal; processing; real time; signal processing ... See more keywords
Optimizing poultry audio signal classification with deep learning and burn layer fusion
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Big Data"
DOI: 10.1186/s40537-024-00985-8
Abstract: This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness. The methodology integrates digital audio signal processing, convolutional neural networks (CNNs), and the… read more here.
Keywords: deep learning; classification; audio signal; model ... See more keywords
Investigation of Machine Learning Model Flexibility for Automatic Application of Reverberation Effect on Audio Signal
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095604
Abstract: This paper discusses an algorithm that attempts to automatically calculate the effect of room reverberation by training a mathematical model based on a recurrent neural network on anechoic and reverberant sound samples. Modelling the room… read more here.
Keywords: reverberation; effect; machine learning; audio signal ... See more keywords