Results 51 to 60 of about 246,748 (291)

Transformer-based autoencoder with ID constraint for unsupervised anomalous sound detection

EURASIP Journal on Audio, Speech, and Music Processing, 2023
Unsupervised anomalous sound detection (ASD) aims to detect unknown anomalous sounds of devices when only normal sound data is available. The autoencoder (AE) and self-supervised learning based methods are two mainstream methods.
Jian Guan, Youde Liu, Qiuqiang Kong, Feiyang Xiao, Qiaoxi Zhu, Jiantong Tian, Wenwu Wang   +6 more
doaj   +1 more source

Frame Theory for Signal Processing in Psychoacoustics

, 2016
This review chapter aims to strengthen the link between frame theory and signal processing tasks in psychoacoustics. On the one side, the basic concepts of frame theory are presented and some proofs are provided to explain those concepts in some detail ...
A. Bregman, A. Janssen, A. Ron, A.V. Oppenheim, A.V. Oppenheim, B. Laback, B. Laback, B.C.J. Moore, B.C.J. Moore, B.R. Glasberg, C. Heil, C. Heil, C. Wiesmeyr, C.J. Plack, D. Soderquist, D. Wang, D.D. Greenwood, D.T. Stoeva, D.T. Stoeva, E. Hernández, E. Ravelli, E. Zwicker, E. Zwicker, E.A. Lopez-Poveda, G. Chardon, G. Kidd Jr, G. Matz, H. Bölcskei, H. Fastl, I. Daubechies, J. Kovačević, J. Leng, J.J. Benedetto, J.J. O’Donovan, J.S. Garofolo, K. Gröchenig, L. Chai, L.N. Trefethen, M. Bownik, M. Bézat, M. Elad, M. Unoki, M. Vetterli, N. Holighaus, N. Holighaus, N. Perraudin, N.K. Bari, O. Christensen, O. Christensen, O. Christensen, P. Balazs, P. Balazs, P. Balazs, P. Balazs, P. Balazs, P. Balazs, P. Balazs, P. Balazs, P. Casazza, P. Søndergaard, P. Vaidyanathan, P.G. Casazza, P.G. Casazza, R.D. Patterson, R.J. Duffin, R.M. Young, S. Strahl, T. Irino, T. Painter, T. Werther, T.S. Gunawan, W. Jesteadt, X. Valero, X. Zhao, Z. Cvetković   +74 more
core   +1 more source

A new digital audio system design to cope with High Audio Scene (HAS) encoding technology for all round applications [PDF]

, 2012
A brand new audio signal processing technology namely 'High Audio Scene (HAS)' has been developed to compensate the inadequacies of Dolby Digital formats that widely used in daily life audio processing systems.
Ip, PWH, Ip, RWL
core   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning

IEEE Access, 2023
In the contemporary era, blind source separation has emerged as a highly appealing and significant research topic within the field of signal processing. The imperative for the integration of blind source separation techniques within the context of beyond
Sam Ansari, Khawla A. Alnajjar, Tarek Khater, Soliman Mahmoud, Abir Hussain   +4 more
doaj   +1 more source

Special Issue on Model-based and Data-Driven Audio Signal Processing [PDF]

, 2023

openalex   +1 more source

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

Advanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel, Zhoulyu Rao, Maggie Yang, Cunjiang Yu   +3 more
wiley   +1 more source

Augmenting Environmental Interaction in Audio Feedback Systems

Applied Sciences, 2016
Audio feedback is defined as a positive feedback of acoustic signals where an audio input and output form a loop, and may be utilized artistically. This article presents new context-based controls over audio feedback, leading to the generation of desired
Seunghun Kim, Graham Wakefield, Juhan Nam   +2 more
doaj   +1 more source

IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING [PDF]

Applied Computer Science, 2019
Audio fading is performed in order to smoothly modify over time the level of an audio signal. In particular, the fade-in audio effect designates a grad-ually increase in the audio volume, starting from silence. In practice, audio fading is mostly carried
Lucian LUPŞA-TĂTARU
doaj   +1 more source

A zero-cost, real-time, Windows signal laboratory [PDF]

, 2009
This paper introduces a Windows-based signal capture, display, and waveform synthesis package called “Win-eLab”. The software is able to run on a conventional desktop or laptop with no additional hardware, and can perform real-time Fourier analysis on ...
Leis, John W., Snook, Chris
core   +1 more source