Center for Robust Speech Systems
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"The focus of the Center for Robust Speech Systems is to provide excellent education in modern speech signal processing and language technology with an emphasis on fundamental engineering breakthroughs, balanced with core foundations in speech and hearing sciences. Our graduates are uniquely qualified for rewarding and successful careers in education, industry and research laboratories interested in speech and human-computer interaction."
Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).
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Geofog4health: A Fog-Based SDI Framework for Geospatial Health Big Data Analysis
(Springer Heidelberg, 2018-02-21)Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial big data using the web. Integration of SDI with cloud computing led to emergence of Cloud-SDI as a tool for transmission, processing and ... -
Speech and Language Processing for Assessing Child–Adult Interaction Based on Diarization and Location
(Springer New York LLC, 2019-06-05)Understanding and assessing child verbal communication patterns is critical in facilitating effective language development. Typically speaker diarization is performed to explore children’s verbal engagement. Understanding ... -
Hybrid Mist-Cloud Systems for Large Scale Geospatial Big Data Analytics and Processing: Opportunities and Challenges
(Springer Heidelberg, 2019-01-08)The cloud and fog computing paradigms are developing area for storing, processing, and analysis of geospatial big data. Latest trend is mist computing which boost fog and cloud concepts for computing process where edge ... -
DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering
(MDPI Multidisciplinary Digital Publishing Institute, 2019-05-22)In today's digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. ... -
Comparison among ECG Filtering Methods for Non-Linear Noise
Electrical functioning of the heart can be translated into a waveform known as Electrocardiography. Perfect diagnosis of heart is very much difficult due to different kinds of noise such as biological signal (EMG), power ... -
Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health
(Elsevier B.V., 2018-10-22)The smart health paradigms employ Internet-connected wearables for tele-monitoring, diagnosis providing inexpensive healthcare solutions. Mist computing reduces latency and increases throughput by processing data near the ... -
An Unsupervised Visual-Only Voice Activity Detection Approach Using Temporal Orofacial Features
Detecting the presence or absence of speech is an important step toward building robust speech-based interfaces. While previous studies have made progress on voice activity detection (VAD), the performance of these systems ... -
Evaluation and Calibration of Short-Term Aging Effects in Speaker Verification
A speaker verification evaluation is presented on the Multisession Audio Research Project (MARP) corpus, for which speakers were recorded at regular intervals, in consistent conditions, over a period of three years. It is ...
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