Results 11 to 20 of about 1,928 (151)

Signal processing & audio processors [PDF]

open access: yesActa Oto-Laryngologica, 2021
Signal processing algorithms are the hidden components in the audio processor that converts the received acoustic signal into electrical impulses while maintaining as much relevant information as possible. Signal processing algorithms should be smart enough to mimic the functionality of external, middle and the inner-ear to provide the cochlear implant
Anandhan, Dhanasingh, Ingeborg, Hochmair
openaire   +2 more sources

Audio signal transmission method in network-based audio analytics system

open access: yesСучасний стан наукових досліджень та технологій в промисловості, 2023
The subject matter of the article is аudio signal transmission method in network-based audio analytics system. The creation of a network-based audio analytics system leads to the emergence of new classes of load sources that transmit packetized sound ...
Anton Poroshenko, Andriy Kovalenko
doaj   +3 more sources

Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

open access: yesIEEE Access, 2020
Depression disorder has become one of the major psychological diseases endangering human health. Researcher in the affective computing community is supporting the development of reliable depression severity estimation system, from multiple modalities ...
Le Yang, Dongmei Jiang, Hichem Sahli
doaj   +1 more source

A zero‐watermarking technique based on i‐vector model for audio copyright protection

open access: yesElectronics Letters, 2023
Audio zero‐watermarking is a promising technology for audio copyright protection. It does not modify the content of the original carrier and has good imperceptibility.
Longting Xu, Mingrui He, Xing Guo
doaj   +1 more source

Active Noise Control over Space: A Subspace Method for Performance Analysis

open access: yesApplied Sciences, 2019
In this paper, we investigate the maximum active noise control performance over a three-dimensional (3-D) spatial space, for a given set of secondary sources in a particular environment.
Jihui Zhang   +3 more
doaj   +1 more source

Deep convolutional neural networks for double compressed AMR audio detection

open access: yesIET Signal Processing, 2021
Detection of double compressed (DC) adaptive multi‐rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural networks (CNN) for DC AMR audio
Aykut Büker, Cemal Hanilçi
doaj   +1 more source

GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition

open access: yesIEEE Access, 2019
In this paper we propose a novel framework to process Doppler-radar signals for hand gesture recognition. Doppler-radar sensors provide many advantages over other emerging sensing modalities, including low development costs and high sensitivity to ...
Abel Diaz Berenguer   +5 more
doaj   +1 more source

Limitations and Performance Analysis of Spherical Sector Harmonics for Sound Field Processing

open access: yesApplied Sciences
Developing spherical sector harmonics (SSHs) benefits sound field decomposition and analysis over spherical sector regions. Although SSHs demonstrate potential in the field of spatial audio, a comprehensive investigation into their properties and ...
Hanwen Bi   +4 more
doaj   +1 more source

Speech enhancement methods based on binaural cue coding

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2019
According to the encoding and decoding mechanism of binaural cue coding (BCC), in this paper, the speech and noise are considered as left channel signal and right channel signal of the BCC framework, respectively.
Xianyun Wang, Changchun Bao
doaj   +1 more source

Room Impulse Response Dataset of a Recording Studio with Variable Wall Paneling Measured Using a 32-Channel Spherical Microphone Array and a B-Format Microphone Array

open access: yesApplied Sciences
This paper introduces RSoANU, a dataset of real multichannel room impulse responses (RIRs) obtained in a recording studio. Compared to the current publicly available datasets, RSoANU distinguishes itself by featuring RIRs captured using both a 32-channel
Grace Chesworth   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy