SRI International
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Automatic Speech Transcription for Low-Resource Languages — The Case of Yoloxóchitl Mixtec (Mexico)
In the present study, we focus exclusively on progress in developing speech recognition for the language of interest, Yoloxóchitl Mixtec (YM), an Oto-Manguean language spoken by fewer than 5000 speakers on the Pacific coast of Guerrero, Mexico.
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Supporting young children with disabilities
The authors review effective ways to support development and learning among young children with disabilities, including language and social skills interventions, preschool curricula, instructional and other practices, and multi-tiered systems of support.
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Issue Brief: Early Warning Systems
The brief describes early warning systems as a dropout prevention strategy based on a nationally representative sample of more than 2,000 U.S. public high schools.
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Privacy- preserving speech analytics for automatic assessment of student collaboration
This work investigates whether nonlexical information from speech can automatically predict the quality of small-group collaborations. Audio was collected from students as they collaborated in groups of three to solve math problems.
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Coping with Unseen Data Conditions: Investigating Neural Net Architectures, Robust Features, and Information Fusion for Robust Speech Recognition
This work investigates the performance of traditional deep neural networks under varying acoustic conditions and evaluates their performance with speech recorded under realistic background conditions that are mismatched with respect to the training data.
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The SRI CLEO Speaker-State Corpus
We introduce the SRI CLEO (Conversational Language about Everyday Objects) Speaker-State Corpus of speech, video, and biosignals.
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Unsupervised Learning of Acoustic Units Using Autoencoders and Kohonen Nets
This work investigates learning acoustic units in an unsupervised manner from real-world speech data by using a cascade of an autoencoder and a Kohonen net.
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On the Issue of Calibration in DNN-Based Speaker Recognition Systems
This article is concerned with the issue of calibration in the context of Deep Neural Network (DNN) based approaches to speaker recognition. We propose a hybrid alignment framework, which stems from our previous work in DNN senone alignment, that uses the bottleneck features only for the alignment of features during statistics calculation.
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The 2016 Speakers in the Wild Speaker Recognition Evaluation
This article provides details of the SITW speaker recognition challenge and analysis of evaluation results. We provide an analysis of some of the top performing systems submitted during the evaluation and provide future research directions.
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Course-Taking Effect on Postsecondary Enrollment of Deaf and Hard of Hearing Students
Data from the National Longitudinal Transition Study-2 were used to examine the effect of academic and career or technical education course-taking in high school on deaf or hard of hearing youth’s postsecondary enrollment.
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Integrated Digital Printing of Flexible Circuits for Wireless Sensing
At PARC, we combine high functionality c-Si CMOS and digitally printed components and interconnects to create an integrated platform that can read and process multiple discrete sensors.
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Automatic Speaker Recognition for Authenticating Users in the Internet of Things
Our world is becoming increasingly mobile. People rely on their mobile devices not only for communication, but for applications from commerce, to home automation and security, to banking, to entertainment, just to name a few. Coupled with today’s expanding environment of web-connected “smart” devices—known as the Internet of Things (IoT)—it’s more critical than ever for…