Browsing Center for Robust Speech Systems by Title
Now showing items 1-8 of 8
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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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...