Results 11 to 20 of about 1,928 (151)
Signal processing & audio processors [PDF]
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
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Audio signal transmission method in network-based audio analytics system
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
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Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals
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
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A zero‐watermarking technique based on i‐vector model for audio copyright protection
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
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Active Noise Control over Space: A Subspace Method for Performance Analysis
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
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Deep convolutional neural networks for double compressed AMR audio detection
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
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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
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Limitations and Performance Analysis of Spherical Sector Harmonics for Sound Field Processing
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
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Speech enhancement methods based on binaural cue coding
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
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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
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