Results 41 to 50 of about 254,173 (190)

An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction

EURASIP Journal on Audio, Speech, and Music Processing, 2022
The domain of spatial audio comprises methods for capturing, processing, and reproducing audio content that contains spatial information. Data-based methods are those that operate directly on the spatial information carried by audio signals.
Maximo Cobos, Jens Ahrens, Konrad Kowalczyk, Archontis Politis   +3 more
doaj   +1 more source

A Generative Product-of-Filters Model of Audio [PDF]

, 2014
We propose the product-of-filters (PoF) model, a generative model that decomposes audio spectra as sparse linear combinations of "filters" in the log-spectral domain.
Hoffman, Matthew D., Liang, Dawen, Mysore, Gautham J.   +2 more
core  

Language Identification Using Visual Features [PDF]

, 2012
Automatic visual language identification (VLID) is the technology of using information derived from the visual appearance and movement of the speech articulators to iden- tify the language being spoken, without the use of any audio information.
Cox, S, Newman, J
core   +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
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Point neuron learning: a new physics-informed neural network architecture

EURASIP Journal on Audio, Speech, and Music Processing
Machine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder their application in certain scientific problems. To overcome these challenges,
Hanwen Bi, Thushara D. Abhayapala
doaj   +1 more source

A Novel Dentary Bone Conduction Device Equipped with Laser Communication in DSP

Sensors, 2021
In this study, we designed a dentary bone conduction system that transmits and receives audio by laser. The main objective of this research was to propose a complete hardware design method, including a laser audio transmitter and receiver and digital ...
Jau-Woei Perng, Tung-Li Hsieh, Cheng-Yan Guo   +2 more
doaj   +1 more source

A Comparative Study of Methods for Separating Audio Signals [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2020
The process of separating signal from a mixture of signals represents an essential task for many applications including sound signal processing and speech processing systems as well as medical signal processing.
Riham Issa, Yusra Mohammad
doaj   +1 more source

On the Mathematics of Music: From Chords to Fourier Analysis [PDF]

, 2013
Mathematics is a far reaching discipline and its tools appear in many applications. In this paper we discuss its role in music and signal processing by revisiting the use of mathematics in algorithms that can extract chord information from recorded music.
Lenssen, Nathan, Needell, Deanna
core  

Beamforming Techniques for Multichannel audio Signal Separation

, 2012
Beamforming is a signal processing technique. It has been studied in many areas such as radar, sonar, seismology and wireless communications, to name but a few.
Adel, Hidri, Alaqeeli, Abdulqadir, Hamid, Amiri, Souad, Meddeb   +3 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