Results 11 to 20 of about 39,246 (256)

Audio Inpainting [PDF]

, 2012
(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Emiya, Valentin, Maria G. Jafari, Emiya, V, Gribonval, R, Plumbley, MD, Amir Adler, Michael Elad, Mark D. Plumbley, Adler, Amir, Elad, M, Gribonval, Rémi, Plumbley, Mark D., Rémi Gribonval, Jafari, MG, Jafari, Maria, G., Elad, Michael, Adler, A, Valentin Emiya   +17 more
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Hearing, seeing, and feeling speech: the neurophysiological correlates of trimodal speech perception

Frontiers in Human Neuroscience, 2023
IntroductionTo perceive speech, our brains process information from different sensory modalities. Previous electroencephalography (EEG) research has established that audio-visual information provides an advantage compared to auditory-only information ...
Doreen Hansmann, Donald Derrick, Catherine Theys, Catherine Theys   +3 more
doaj   +1 more source

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

Frontiers in Artificial Intelligence, 2022
Deep neural speech and audio processing systems have a large number of trainable parameters, a relatively complex architecture, and require a vast amount of training data and computational power.
Shahin Amiriparian, Tobias Hübner, Vincent Karas, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller, Björn W. Schuller   +6 more
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Speaker segmentation and clustering [PDF]

, 2008
07.08.13 KB. Ok to add the accepted version to Spiral, Elsevier says ok whlile mandate not enforced.This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding
Kotti, Margarita, Moschou, Vassiliki, Kotropoulos, Constantine, Margarita Kotti, Vassiliki Moschou, Constantine Kotropoulos   +5 more
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Audio-visual speech perception: a developmental ERP investigation [PDF]

, 2013
Being able to see a talking face confers a considerable advantage for speech perception in adulthood. However, behavioural data currently suggest that children fail to make full use of these available visual speech cues until age 8 or 9.
Thomas, MS, Thomas, M., Knowland, VC, Mercure, E., Karmiloff-Smith, A., Karmiloff-Smith, A, Dick, F., Thomas, Michael S.C., Dick, Fred, Dick, Frederic, Mercure, E, Mercure, Evelyne, Karmiloff-Smith, Annette, Knowland, Victoria C.P., Knowland, V., Dick, F   +15 more
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Audiovisual Speech Synchrony Measure: Application to Biometrics

EURASIP Journal on Advances in Signal Processing, 2007
Speech is a means of communication which is intrinsically bimodal: the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech, and more specifically techniques developed to ...
Bredin Hervé, Chollet Gérard
doaj   +2 more sources

Audio-Visual Causality and Stimulus Reliability Affect Audio-Visual Synchrony Perception

Frontiers in Psychology, 2021
People can discriminate the synchrony between audio-visual scenes. However, the sensitivity of audio-visual synchrony perception can be affected by many factors.
Shao Li, Qi Ding, Yichen Yuan, Zhenzhu Yue   +3 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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A survey of technologies for automatic Dysarthric speech recognition

EURASIP Journal on Audio, Speech, and Music Processing, 2023
Speakers with dysarthria often struggle to accurately pronounce words and effectively communicate with others. Automatic speech recognition (ASR) is a powerful tool for extracting the content from speakers with dysarthria.
Zhaopeng Qian, Kejing Xiao, Chongchong Yu   +2 more
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A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning

IEEE Access, 2023
In the contemporary era, blind source separation has emerged as a highly appealing and significant research topic within the field of signal processing. The imperative for the integration of blind source separation techniques within the context of beyond
Sam Ansari, Khawla A. Alnajjar, Tarek Khater, Soliman Mahmoud, Abir Hussain   +4 more
doaj   +1 more source