Results 21 to 30 of about 33,067 (308)
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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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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Limitations and Performance Analysis of Spherical Sector Harmonics for Sound Field Processing
Applied SciencesDeveloping 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
EURASIP 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
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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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Applied SciencesThis 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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Intelligibility and Listening Effort of Spanish Oesophageal Speech
Applied Sciences, 2019 Communication is a huge challenge for oesophageal speakers, be it for interactions with fellow humans or with digital voice assistants. We aim to quantify these communication challenges (both human−human and human−machine interactions) by ...
Sneha Raman +4 more
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Special Issue on “Sound and Music Computing”
Applied Sciences, 2018 Sound and music computing is a young and highly multidisciplinary research field. [...]
Tapio Lokki +3 more
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The Journal of Engineering, 2021 Audio signals typically comprise several characteristics to be improved by signal processing and in practice, each of these characteristics has a unique relationship to the controllable system parameters.
Pingfei Jiang, Mark A. Atherton
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