Results 21 to 30 of about 54,505 (261)
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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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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Shearer drum load identification method based on audio recognition
Gong-kuang zidonghua, 2022 In order to solve the problems of the existing shearer drum load identification methods, such as difficult implementation of related algorithms, complex engineering implementation mode and high application difficulty, through analyzing the ...
ZHUANG Deyu
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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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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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A Novel Dentary Bone Conduction Device Equipped with Laser Communication in DSP
Sensors, 2021 In this study, we designed a dentary bone conduction system that transmits and receives audio by laser. The main objective of this research was to propose a complete hardware design method, including a laser audio transmitter and receiver and digital ...
Jau-Woei Perng +2 more
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New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
A Simple Prior for Audio Signals [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2013 We propose a simple prior for restoration problems involving oscillatory signals. The prior makes use of an underlying analytic frame decomposition with narrow subbands. Other than this, the prior does not have any other parameters, which makes it simple to use and apply.
Ilker Bayram, Mustafa E. Kamasak
openaire +2 more sources