Results 61 to 70 of about 2,146 (182)

Audio-Visual Speech Recognition Using MPEG-4 Compliant Visual Features

EURASIP Journal on Advances in Signal Processing, 2002
We describe an audio-visual automatic continuous speech recognition system, which significantly improves speech recognition performance over a wide range of acoustic noise levels, as well as under clean audio conditions.
Aleksic Petar S, Williams Jay J, Wu Zhilin, Katsaggelos Aggelos K   +3 more
doaj   +1 more source

An exciting Approach to Theoretical Spectroscopy

Advanced Science, Volume 13, Issue 47, 24 August 2026.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

KMSAV: Korean multi-speaker spontaneous audiovisual dataset

ETRI Journal
Recent advances in deep learning for speech and visual recognition have accelerated the development of multimodal speech recognition, yielding many innovative results. We introduce a Korean audiovisual speech recognition corpus.
Kiyoung Park, Changhan Oh, Sunghee Dong
doaj   +1 more source

Investigating the Impact of Fast‐Paced Digital Content, Social Media Engagement, and Lifestyle Factors on Attention, Cognitive Load, and Behavioral Impulsivity: A Machine Learning Approach

Brain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background The increase in fast‐paced digital content and changes in lifestyle among young adults have raised concerns about their effects on cognitive functions. While many studies have looked into this connection, few have used strong machine learning models to predict subclinical cognitive outcomes based on real‐world, self‐reported ...
Arfatul Islam Asif, Sanjoy Das Joy, Mustakim Billah, Unayes Ahmed Khan, Ibnul Mansib, Sheikh Md. Azizul Hoque Munna, Anupam Kumar Bairagi, Abdullah Al Noman   +7 more
wiley   +1 more source

Successful Single‐Session Neural Self‐Regulation Through Neurofeedback Varies Between Features

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
We demonstrate that the ‘non‐learner’ problem is not a universal personal trait: using an intra‐subject cross‐over design, all participants successfully regulated multiple rhythms despite failing to modulate Theta. We identify distinct learning trajectories, highlighting the importance of frequency specificity in neural self‐regulation.
Syrjänen E, Silva J, Astrand E
wiley   +1 more source

Design and Development of an Acoustic-Based Recongnition System Using DNN

Sukkur IBA Journal of Computing and Mathematical Sciences
Automatic speech recognition is a process of using computers to convert voice signals produced by human speech into reasonable format i.e. text or command that conveys the same meaning as the speaker intended to do.
Bushra Jamil, Saba Sultan, Humaira Ijaz
doaj   +1 more source

ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES [PDF]

Journal of Engineering Science and Technology, 2015
In recent years, speech technology has become a vital part of our daily lives. Various techniques have been proposed for developing Automatic Speech Recognition (ASR) system and have achieved great success in many applications.
VIMALA C., RADHA V.
doaj  

Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem.

PLoS Computational Biology, 2017
There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities.
Cai Wingfield, Li Su, Xunying Liu, Chao Zhang, Phil Woodland, Andrew Thwaites, Elisabeth Fonteneau, William D Marslen-Wilson   +7 more
doaj   +1 more source

Exploring discrete wavelet transforms for bimodal speech recognition [PDF]

Serbian Journal of Electrical Engineering
Discrete Wavelet Transforms (DWTs) provide time–frequency representations that are well suited for nonstationary signals such as speech. This study presents a comparison of four wavelet families (Daubechies, Symlets, Coiflets, and Biorthogonal) for ...
Marković Branko, Lončarević Veljko, Galić Jovan   +2 more
doaj   +1 more source

Toward Autonomous Clinics: Human–Robot Collaboration in Clinical Care

MedComm, Volume 7, Issue 8, August 2026.
This graphical abstract summarizes the conceptual structure of human–robot collaboration (HRC) for autonomous clinical systems. The framework is organized around a dual‐brain architecture in which a professional brain supports clinical reasoning tasks such as diagnosis, image analysis, treatment planning, and patient monitoring, while a physical brain ...
Xinyuan Wu, Jingrao Zhang, Mengdi Xu, Henry K. Chu, Xiaolan Chen, Pingting Zhong, Bowen Liu, Mingguang He, Danli Shi   +8 more
wiley   +1 more source