Results 31 to 40 of about 102,388 (290)

Rotation in galaxy clusters from MUSIC simulations with the kinetic Sunyaev-Zel'dovich effect [PDF]

open access: yes, 2019
We propose in this work its application for the detection of possible coherent rotational motions in the hot intra-cluster medium. We select a sample of massive, relaxed and rotating galaxy clusters from Marenostrum-mUltidark SImulations of galaxy ...
Baldi, A. S.   +5 more
core   +3 more sources

Transparency, technology and trust: Music metrics and cultural distortion [PDF]

open access: yes, 2020
Transparency issues influence many aspects of modern society and are critical in balancing the dichotomy between personalisation and privacy. Transparency behaviours have previously been refined into the disclosure, clarity and accuracy (DCA) model (Schnackenberg & Tomlinson, 2014). This thesis has two projects.
openaire   +2 more sources

The Sound Demixing Challenge 2023 – Music Demixing Track

open access: yesTransactions of the International Society for Music Information Retrieval
This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX’23). We provide a summary of the challenge setup and introduce the task of robust music source separation (MSS), i.e., training MSS models in the presence of errors
Giorgio Fabbro   +26 more
doaj   +1 more source

Frequency Hopping Method for Audio Watermarking [PDF]

open access: yesTelfor Journal, 2012
This paper evaluates the degradation of audio content for a perceptible removable watermark. Two different approaches to embedding the watermark in the spectral domain were investigated.
A. Anastasijević, D. Čoja
doaj  

Hearing the Sound in the Brain: Influences of Different EEG References

open access: yesFrontiers in Neuroscience, 2018
If the scalp potential signals, the electroencephalogram (EEG), are due to neural “singers” in the brain, how could we listen to them with less distortion?
Dan Wu, Dan Wu
doaj   +1 more source

Query-based Deep Improvisation [PDF]

open access: yes, 2019
In this paper we explore techniques for generating new music using a Variational Autoencoder (VAE) neural network that was trained on a corpus of specific style. Instead of randomly sampling the latent states of the network to produce free improvisation,
Dubnov, Shlomo
core   +1 more source

Throughput Scaling Of Convolution For Error-Tolerant Multimedia Applications

open access: yes, 2012
Convolution and cross-correlation are the basis of filtering and pattern or template matching in multimedia signal processing. We propose two throughput scaling options for any one-dimensional convolution kernel in programmable processors by adjusting ...
Anam, Mohammad Ashraful   +1 more
core   +1 more source

Distorted sounds: unlocking the physics of modern music

open access: yesEuropean Journal of Physics
Abstract In the production of modern music, the musical characteristics of the guitar or keyboard amplifier play an integral role in the creative process. This article explores the physics of music with an emphasis on the role of distortion in amplification. In particular, we derive and illustrate how a distorted amplifier creates new
Anna Mullin, Derek B Leinweber
openaire   +2 more sources

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source

Deep Music Information Dynamics

open access: yesJournal of Creative Music Systems, 2022
Generative musical models often comprise of multiple levels of structure, presuming that the process of composition moves between background to foreground, or between generating musical surface and some deeper and reduced representation that governs ...
Shlomo Dubnov, Ke Chen, Kevin Huang
doaj   +1 more source

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