Smart fog: Fog computing framework for unsupervised clustering analytics in wearable internet of things

D Borthakur, H Dubey, N Constant… - 2017 IEEE Global …, 2017 - ieeexplore.ieee.org
The increasing use of wearables in smart telehealth system led to the generation of large
medical big data. Cloud and fog services leverage these data for assisting clinical …

Fog assisted cloud computing in era of big data and internet-of-things: systems, architectures, and applications

RK Barik, H Dubey, C Misra, D Borthakur… - Cloud computing for …, 2018 - Springer
This book chapter discusses the concept of edge-assisted cloud computing and its relation
to the emerging domain of “Fog-of-things (FoT)”. Such systems employ low-power …

Single-Channel informed spontaneous speech separation by NNMF on a uniform filterbank

RN Ismael, HM Kadhim… - 2023 Al-Sadiq …, 2023 - ieeexplore.ieee.org
The paper summarizes two algorithms to process spontaneous conversation, which contain
two speech formats, a mixture, and dialogue of two speakers. Mixture format (called …

Supervised Machine Learning for Speaker Diarization by PNCC with LPCC Audio Coefficients

HM Kadhim, AH Ahmed, AK Hassan… - Association of Arab …, 2024 - jaaru.org
Speaker Diarization is a speech digital signal processing technique that segregates one
input observation of n multi-speaker signal into an individual speech of those n persons …

Single channel overlapped-speech detection and separation of spontaneous conversations

HMA Kadhim - 2018 - theses.ncl.ac.uk
In the thesis, spontaneous conversation containing both speech mixture and speech
dialogue is considered. The speech mixture refers to speakers speaking simultaneously (ie …