[HTML][HTML] A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools
Domestic violence remains a pressing complex social problem of people of any gender,
age, socio-economic status, and ethno-cultural background, an issue that worsened …
age, socio-economic status, and ethno-cultural background, an issue that worsened …
DeepMMSE: A deep learning approach to MMSE-based noise power spectral density estimation
Q Zhang, A Nicolson, M Wang… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
An accurate noise power spectral density (PSD) tracker is an indispensable component of a
single-channel speech enhancement system. Bayesian-motivated minimum mean-square …
single-channel speech enhancement system. Bayesian-motivated minimum mean-square …
Deep learning for minimum mean-square error approaches to speech enhancement
A Nicolson, KK Paliwal - Speech Communication, 2019 - Elsevier
Recently, the focus of speech enhancement research has shifted from minimum mean-
square error (MMSE) approaches, like the MMSE short-time spectral amplitude (MMSE …
square error (MMSE) approaches, like the MMSE short-time spectral amplitude (MMSE …
Masked multi-head self-attention for causal speech enhancement
A Nicolson, KK Paliwal - Speech Communication, 2020 - Elsevier
Accurately modelling the long-term dependencies of noisy speech is critical to the
performance of a speech enhancement system. Current deep learning approaches to …
performance of a speech enhancement system. Current deep learning approaches to …
A convolutional neural network smartphone app for real-time voice activity detection
A Sehgal, N Kehtarnavaz - IEEE access, 2018 - ieeexplore.ieee.org
This paper presents a smartphone app that performs real-time voice activity detection based
on convolutional neural network. Real-time implementation issues are discussed showing …
on convolutional neural network. Real-time implementation issues are discussed showing …
A time-frequency attention module for neural speech enhancement
Speech enhancement plays an essential role in a wide range of speech processing
applications. Recent studies on speech enhancement tend to investigate how to effectively …
applications. Recent studies on speech enhancement tend to investigate how to effectively …
Mobile sensors based platform of Human Physical Activities Recognition for COVID-19 spread minimization
The development of smartphones technologies has determined the abundant and prevalent
computation. An activity recognition system using mobile sensors enables continuous …
computation. An activity recognition system using mobile sensors enables continuous …
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change …
The objective of this research is to examine the possible impacts of climate change on
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …
Hybrid datafication of maintenance logs from AI-assisted human tags
One of the main challenges of applying AI to certain datasets derives from the datasets
themselves being unstructured, unclear, and ambiguous. Furthermore, the insights that are …
themselves being unstructured, unclear, and ambiguous. Furthermore, the insights that are …
On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement
The performance of speech coding, speech recognition, and speech enhancement systems
that rely on the augmented Kalman filter (AKF) largely depend upon the accuracy of clean …
that rely on the augmented Kalman filter (AKF) largely depend upon the accuracy of clean …