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PARAMETRIC REPRESENTATION OF THE SPEAKER’S LIPS FOR MULTIMODAL SIGN LANGUAGE AND SPEECH RECOGNITION
Sign language Gestures Speech recognition Computer Vision Principal Component Analysis Machine learning Face detection Linear contrasting
2017/6/19
In this article, we propose a new method for parametric representation of human’s lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
第十四届全国人机语音通讯学术会议(National Conference on Man-Machine Speech Communication)
人机语音通讯技术 语音 通讯 声学 听觉 音乐声学
2017/2/14
人机语音通讯技术的研究一直是国内外关注的热点。全国人机语音通讯学术会议(NCMMSC)由中国中文信息学会语音信息专业委员会主办,中国声学学会语言、听觉和音乐声学分会,中国语言学会语音学分会联合协办,是这一领域广大专家、学者和科研工作者交流最新研究成果,促进该领域研究和开发工作不断进步的重要舞台。该系列会议自1990年开创以来已成功召开了十三届。
A Speech Act Calculus. A Pragmatised Natural Deduction Calculus and its Meta-theory
Speech Act Calculus Natural Deduction Logic Pragmatisation
2015/7/21
Building on the work of Peter Hinst and Geo Siegwart, we develop a pragmatised natural deduction calculus, i.e. a natural deduction calculus that incorporates illocutionary operators at the formal lev...
Measuring Polarization in High-dimensional Data: Method and Application to Congressional Speech
Method and Applicatio Congressional Speech
2015/7/17
Standard measures of segregation or polarization are inappropriate for high-dimensional
data such as Internet browsing histories, item-level purchase data, or text. We develop a
model-based measure ...
Two families with quadrupedalism, mental retardation, no speech, and infantile hypotonia (Uner Tan Syndrome Type-II); a novel theory for the evolutionary emergence of human bipedalism
Uner Tan syndrome ataxia quadrupedalism evolution complex systems self-organization
2015/6/10
Two consanguineous families with Uner Tan Syndrome (UTS) were analyzed in relation to self-organizing processes in complex systems, and the evolutionary emergence of human bipedalism. The cases had th...
New Device Could Greatly Improve Speech and Image Recognition(图)
Greatly Improve Speech Image Recognition
2015/5/25
Researchers at the University of California, Riverside Bourns College of Engineering and the Russian Academy of Sciences have successfully demonstrated pattern recognition using a magnonic h...
UBIQUITOUS GIS, DATA ACQUISITION AND SPEECH RECOGNITION
GIS DATA ACQUISITION SPEECH RECOGNITION
2015/3/16
UBIQUITOUS GIS, DATA ACQUISITION AND SPEECH RECOGNITION.
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology
spoken dialogue systems speech interfaces POMDPs
2014/11/27
People with motor disabilities often face substantial challenges using interfaces designed for manual interaction. Although such obstacles might be partially alleviated by automatic speech recognition...
Multi-level Context-dependent Acoustic Modeling for Automatic Speech Recognition
Multi-level Context-dependent Acoustic Modeling Automatic Speech Recognition
2014/11/27
In this paper, we propose a multi-level, contextdependent acoustic modeling framework for automatic speech recognition. For each context-dependent unit considered by the recognizer, we construct a set...
An Efferent-Inspired Auditory Model Front-End for Speech Recognition
efferent auditory model feature extraction
2014/11/27
In this paper, we investigate a closed-loop auditory model and explore its potential as a feature representation for speech recognition. The closed-loop representation consists of an auditory-based, e...
A Back-off Discriminative Acoustic Model for Automatic Speech Recognition
context-dependent acoustic modeling back-off acoustic models discriminative training
2014/11/27
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad phonetic classes to divide the classification problem originating from c...