Biases in Ecoacoustics Analysis: A Protocol to Equalize Audio Recorders [PDF]
Eco-acoustic indices allow us to rapidly evaluate habitats and ecosystems and derive information about anthropophonic impacts. However, it is proven that indices’ values and trends are not comparable between studies.
Andrea Potenza +6 more
doaj +6 more sources
All About Audio Equalization: Solutions and Frontiers [PDF]
Audio equalization is a vast and active research area. The extent of research means that one often cannot identify the preferred technique for a particular problem.
Vesa Välimäki, Joshua D. Reiss
doaj +9 more sources
Designing Audio Equalization Filters by Deep Neural Networks [PDF]
Audio equalization is an active research topic aiming at improving the audio quality of a loudspeaker system by correcting the overall frequency response using linear filters.
Giovanni Pepe +3 more
doaj +4 more sources
Multimedia Archives: New Digital Filters to Correct Equalization Errors on Digitized Audio Tapes [PDF]
Multimedia archives face the problem of obsolescing and degrading analogue media (e.g., speech and music recordings and video art). In response, researchers in the field have recently begun studying ad hoc tools for the preservation and access of ...
Niccolò Pretto +6 more
doaj +2 more sources
Equalizing the In-Ear Acoustic Response of Piezoelectric MEMS Loudspeakers Through Inverse Transducer Modeling [PDF]
Micro-Electro-Mechanical Systems (MEMS) loudspeakers are attracting growing interest as alternatives to conventional miniature transducers for in-ear audio applications.
Oliviero Massi +2 more
doaj +2 more sources
Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm [PDF]
The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions.
G. Ayappan, S. Anila
doaj +2 more sources
Word Embeddings for Automatic Equalization in Audio Mixing [PDF]
In recent years, machine learning has been widely adopted to automate the audio mixing process. Automatic mixing systems have been applied to various audio effects such as gain-adjustment, equalization, and reverberation. These systems can be controlled through visual interfaces, providing audio examples, using knobs, and semantic descriptors.
Satvik Venkatesh +2 more
+6 more sources
Audio dynamics automatic equalization inspired by visual perception [PDF]
AbstractThis paper explores the behavior of an algorithm called Audio Dynamics Automatic Equalization (ADAE). This algorithm has been inspired by research carried out in the context of image restoration: it is the adaptation of a contrast and color unsupervised equalizer for images, called Automatic Color Equalization (ACE), into the audio domain ...
Luca A. Ludovico +2 more
openalex +4 more sources
Evolutionary tuning of filters coefficients for binaural audio equalization
Abstract This paper presents a novel multichannel audio equalization technique based on evolutionary computation algorithms for tuning the filters coefficients. Specifically, two distinct evolutionary algorithms are used on purpose, i.e. the Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA).
Giovanni Pepe +3 more
openalex +3 more sources
Corrigendum to “Multimedia Archives: New Digital Filters to Correct Equalization Errors on Digitized Audio Tapes” [PDF]
Niccolò Pretto +6 more
doaj +2 more sources

