20,677 resources related to Speech Recognition
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2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD 2013)
“SpeD 2013” will bring together academics and industry professionals from universities, government agencies and companies to present their achievements in speech technology and related fields. “SpeD 2013” is a conference and international forum which will reflect some of the latest tendencies in spoken language technology and human-computer dialogue research as well as some of the most recent applications in this area.
2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
The conference will address, but is not limited to, the following topics:• Computational and psychological models of emotion;• Affect in arts entertainment and multimedia;• Bodily manifestations of affect (facial expressions, posture, behavior, physiology);• Databases for emotion processing, development and issues;• Affective interfaces and applications (games, learning, dialogue systems…);• Ecological and continuous emotion assessment;• Affect in social interactions.
2013 IEEE International Conference on Multimedia and Expo (ICME)
To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.
2013 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)
The ASRU workshop meets every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to discuss problems of common interest in automatic speech recognition and understanding.
2013 International Carnahan Conference on Security Technology (ICCST)
This international conference is a forum for all aspects of physical, cyber and electronic security research, development, systems engineering, testing, evaluation, operations and sustainability. The ICCST facilitates the exchange of ideas and information.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...
All telecommunications, including telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space, and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; communication theory; and wireless communications.
Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...
Fook, C.Y.; Hariharan, M.; Yaacob, S.; Adom, A. Biomedical Engineering (ICoBE), 2012 International Conference on, 2012
Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance degrades in noisy environments. This paper presents a brief survey on Automatic Speech Recognition on Malays Corpus and multi-modal speech recognition on others Corpus. The audio only speech recognition ...
Mitra, V.; Franco, H.; Graciarena, M.; Mandal, A. Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, 2012
Background noise and channel degradations seriously constrain the performance of state-of-the-art speech recognition systems. Studies comparing human speech recognition performance with automatic speech recognition systems indicate that the human auditory system is highly robust against background noise and channel variabilities compared to automated systems. A traditional way to add robustness to a speech recognition system is to construct a robust ...
Mitra, V.; Franco, H.; Graciarena, M.; Vergyri, D. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014
Studies have shown that the performance of state-of-the-art automatic speech recognition (ASR) systems significantly deteriorate with increased noise levels and channel degradations, when compared to human speech recognition capability. Traditionally, noise-robust acoustic features are deployed to improve speech recognition performance under varying background conditions to compensate for the performance degradations. In this paper, we present the Modulation of Medium Duration ...
Kaynak, M.N.; Qi Zhi; Cheok, A.D.; Sengupta, K.; Ko Chi Chung Systems, Man, and Cybernetics, 2001 IEEE International Conference on, 2001
Audio-visual speech recognition is a novel extension of acoustic speech recognition and has received a lot of attention in the last few decades. The main motivation behind bimodal speech recognition is the bimodal characteristics of speech perception and production systems of human beings. The effect of the modeling parameters of hidden Markov models (HMM) on the recognition accuracy of the ...
Barry, T.; Solz, T.; Reising, J.; Williamson, D. Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National, 1994
Two studies were performed to test the ability of three different automated speech recognition devices working in parallel, along with an Enhanced Majority Rules (EMR) software algorithm, to obtain a combined speech recognition accuracy better than the accuracies produced by each of the individual systems alone. The first experiment, using a rather simple, robust vocabulary, compared the recognition accuracy of ...
Beigi, Homayoon Voice: Technologies and Algorithms for Biometrics Applications, 2010
This tutorial provides an in-depth look at Speaker recognition. Speaker recognition is a technique that would use the vocal characteristics of an individual's voice to be able to identify the person and verify the person. Different forms and modalities of speaker recognition will be discussed in this tutorial. Regardless of the forms and modalities of speaker recognition, ultimately, speaker recognition ...
Computer-Assisted Audiovisual Language Learning
ICASSP 2012 Plenary-Dr. Karlheinz Brandenburg
ICASSP 2012 - Opening Ceremony
ISSCC 2012 - David Perlmutter Plenary
ISSCC 2012 - Yoichi Yano Plenary
ISSCC 2012 - Carmelo Papa Plenary
ISSCC 2012 - Eli Harari Plenary
APEC 2012 - Dr. Babak Fahimi Plenary
APEC 2012 - Dan Kinzer Plenary
APEC 2012 - John Oenick Plenary
APEC 2012 - Thomas S. Buzak Plenary
APEC 2012 - Dr. Fred Lee Plenary
IEEE Innovation Day 2011- Plenary Address
APEC 2011-What does mobility look like in the future?
ECCE Plenary: Richard K. Williams, part 2
ECCE Plenary: Pedro Ray, part 2
ECCE Plenary: Pedro Ray, part 1
ECCE Plenary: Paul Hamilton, part 2
ECCE Plenary: Lennart Jonsson, part 2
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