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It may look like Ruidong Zhang is talking to himself, but in fact the doctoral student in the field of information science is silently mouthing the passcode to unlock his nearby smartphone and play th...
Small modular reactors (SMRs) are likely to be an important part of the next generation in nuclear, but a paradigm shift is needed to enable their safe deployment with the speed and magnitude required...
Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world...
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 ...
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。
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...
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 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...
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.
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...
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...
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...
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...
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...

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