Fog computing in medical internet-of-things: architecture, implementation, and applications
H Dubey, A Monteiro, N Constant, M Abtahi… - Handbook of Large …, 2017 - Springer
In the era when the market segment of Internet of Things (IoT) tops the chart in various
business reports, it is apparently envisioned that the field of medicine expects to gain a large …
business reports, it is apparently envisioned that the field of medicine expects to gain a large …
Inferring clinical depression from speech and spoken utterances
In this paper, we investigate the problem of detecting depression from recordings of subjects'
speech using speech processing and machine learning. There has been considerable …
speech using speech processing and machine learning. There has been considerable …
Sounds of healthy aging: Assessing everyday social and cognitive activity from ecologically sampled ambient audio data
As proposed by the healthy aging model of the World Health Organization (2015),
participation in social and cognitive activities is important for healthy aging and for …
participation in social and cognitive activities is important for healthy aging and for …
[HTML][HTML] Robust and accurate features for detecting and diagnosing autism spectrum disorders
In this paper, we report experiments on the Interspeech 2013 Autism Challenge, which
comprises of two subtasks–detecting children with ASD and classifying them into four …
comprises of two subtasks–detecting children with ASD and classifying them into four …
Automatic measurement of affective valence and arousal in speech
M Asgari, G Kiss, J Van Santen… - … on acoustics, speech …, 2014 - ieeexplore.ieee.org
Methods are proposed for measuring affective valence and arousal in speech. The methods
apply support vector regression to prosodic and text features to predict human valence and …
apply support vector regression to prosodic and text features to predict human valence and …
Improvements to harmonic model for extracting better speech features in clinical applications
Acoustic properties of speech samples can provide important cues in the assessment of
voice pathology and cognitive function. The goal of this study is to develop novel algorithms …
voice pathology and cognitive function. The goal of this study is to develop novel algorithms …
[PDF][PDF] Improving the accuracy and the robustness of harmonic model for pitch estimation.
Accurate and robust estimation of pitch plays a central role in speech processing. Various
methods in time, frequency and cepstral domain have been proposed for generating pitch …
methods in time, frequency and cepstral domain have been proposed for generating pitch …
Detecting vocalizations of individual monkeys in social groups
A Bayestehtashk, I Shafran, K Coleman… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
Vocalization is an important clue in recognizing monkeys' behaviors. Previous studies have
shown that the frequencies, the types and the lengths of vocalizations reveal significant …
shown that the frequencies, the types and the lengths of vocalizations reveal significant …
[PDF][PDF] Algorithms for extracting robust and accurate speech features and their application in clinical domain
M Asgari - 2014 - digitalcollections.ohsu.edu
First of all, my deepest thanks go to my adviser, Izhak Shafran, for his continuous support
and encouragement he has generously offered in the past five years. I would also like to …
and encouragement he has generously offered in the past five years. I would also like to …