Results 21 to 30 of about 372,370 (292)

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

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, Meshia Cedric Oveneke, Habib-Ur-Rehman Khalid, Mitchel Alioscha-Perez, Andre Bourdoux, Hichem Sahli   +5 more
doaj   +1 more source

Audio Source Separation Using Sparse Representations [PDF]

, 2010
This is the author's final version of the article, first published as A. Nesbit, M. G. Jafari, E. Vincent and M. D. Plumbley. Audio Source Separation Using Sparse Representations. In W.
Jafari, MG, Nesbit, A, Plumbley, MD, Vincent, E   +3 more
core   +3 more sources

Atomic microwave-to-optical signal transduction via magnetic-field coupling in a resonant microwave cavity

, 2020
Atomic vapors offer many opportunities for manipulating electromagnetic signals across a broad range of the electromagnetic spectrum. Here, a microwave signal with an audio-frequency modulation encodes information in an optical signal by exploiting an ...
Davis, J. P., LeBlanc, L. J., Lee, T. S., Potts, C. A., Thiessen, M. J., Tretiakov, A.   +5 more
core   +1 more source

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, Erdoğan, Hakan, Grais, Emad Mounir, Topkaya, İbrahim Saygın, Topkaya, Ibrahim Saygin   +4 more
core   +1 more source

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

Applied 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, Shaoheng Xu, Fei Ma, Thushara D. Abhayapala, Prasanga N. Samarasinghe   +4 more
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

Audio Signal Processing

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Audio Signal Processing is also known as Digital Analog Conversion (DAC). Sound waves are the most common example of longitudinal waves. The speed of sound waves is a particular medium depends on the properties of that temperature and the medium.
openaire   +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

Applied 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, Amy Bastine, Thushara Abhayapala   +2 more
doaj   +1 more source

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, Luis Serrano, Axel Winneke, Eva Navas, Inma Hernaez   +4 more
doaj   +1 more source