Results 11 to 20 of about 246,748 (291)
Applied Sciences, 2020 Multi-channel speech coding and enhancement is an indispensable technology in speech communication. In order to verify the effectiveness of multi-channel speech coding and enhancement methods in the research and development, a microphone array speech ...
Rui Cheng, Changchun Bao, Zihao Cui
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Audio signal transmission method in network-based audio analytics system
Сучасний 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 ...
Антон Порошенко +1 more
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Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals
IEEE 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
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A zero‐watermarking technique based on i‐vector model for audio copyright protection
Electronics 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
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Active Noise Control over Space: A Subspace Method for Performance Analysis
Applied 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
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Deep convolutional neural networks for double compressed AMR audio detection
IET 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
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Audio-visual speech recognition with background music using single-channel source separation [PDF]
, 2012 In this paper, we consider audio-visual speech recognition with background music. The proposed algorithm is an integration of audio-visual speech recognition and single channel source separation (SCSS). We apply the proposed algorithm to recognize spoken
Erdogan, Hakan +4 more
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IEEE 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
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An Audio-Visual Separation Model Integrating Dual-Channel Attention Mechanism
IEEE Access, 2023 Sound source separation is the separation of targeted sounds from a noisy environment, which plays an important role in signal processing and has been studied extensively.
Yutao Zhang, Kaixing Wu, Mengfan Zhao
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APPLICATION OF PARTIAL LEAST SQUARES REGRESSION FOR AUDIO-VISUAL SPEECH PROCESSING AND MODELING [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Subject of Research. The paper deals with the problem of lip region image reconstruction from speech signal by means of Partial Least Squares regression. Such problems arise in connection with development of audio-visual speech processing methods.
A. L. Oleinik
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