Results 61 to 70 of about 6,722,896 (329)
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Adaptation of speaker-specific bases in non-negative matrix factorization for single channel speech-music separation [PDF]
This paper introduces a speaker adaptation algorithm for nonnegative matrix factorization (NMF) models. The proposed adaptation algorithm is a combination of Bayesian and subspace model adaptation. The adapted model is used to separate speech signal from
Erdoğan, Hakan, Grais, Emad Mounir
core
Signal Processing for Robust Speech Recognition [PDF]
This paper describes a series of cepstral-based compensation procedures that render the SPHINX-II system more robust with respect to acoustical environment. The first algorithm, phone-dependent cepstral compensation, is similar in concept to the previously-described MFCDCN method, except that cepstral compensation vectors are selected according to the ...
Richard M. Stern +3 more
openaire +3 more sources
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi +20 more
wiley +1 more source
Deep learning for necrosis detection using canine perivascular wall tumour whole slide images
Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards scoring tumour grade which then determines treatment options.
Taranpreet Rai +9 more
doaj +1 more source
A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition
Speech is the most significant mode of communication among human beings and a potential method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable emotion recognition using these sensors from speech signals is an emerging area
Mustaqeem, Soonil Kwon
semanticscholar +1 more source
On chaotic nature of speech signals
Phonetic signals are considered from the viewpoint of nonlinear dynamics. Phase portraits of the signals are analyzed in embedding space, dimension and the largest Lyapunov exponent are estimated. It is shown that dimension of speech signals is low and the largest Lyapunov exponent is positive.
Andreev, Yu. V., Koroteev, M. V.
openaire +3 more sources
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source
Analysis of User Requirements in Interactive 3D Video Systems
The recent development of three dimensional (3D) display technologies has resulted in a proliferation of 3D video production and broadcasting, attracting a lot of research into capture, compression and delivery of stereoscopic content.
Haiyue Yuan, Janko Ćalić, Ahmet Kondoz
doaj +1 more source
Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification
In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for dialect identification. The spectrum derived using SFF has high spectral resolution for harmonics and resonances while simultaneously maintaining good time ...
Rashmi Kethireddy +3 more
doaj +1 more source

