Results 31 to 40 of about 548,043 (300)

AI Education Matters: Teaching Hidden Markov Models

, 2018
In this column, we share resources for learning about and teaching Hidden Markov Models (HMMs). HMMs find many important applications in temporal pattern recognition tasks such as speech/handwriting/gesture recognition and robot localization.
Neller, Todd W.
core   +1 more source

Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech

Communications Medicine
Background Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang   +8 more
doaj   +1 more source

Speaker Recognition System Using Celluar Automata [PDF]

Engineering and Technology Journal, 2005
Speaker recognition and voice recognition are subfields of speech processing by computer. They work on the principle that there are features of speech that can be used to discriminate one speaker from another through three stages, preprocessing, feature ...
Aladdin Abdulwahid, Ahmed Al-Attab
doaj   +1 more source

Speech pattern recognition for forensic acoustic purposes [PDF]

TECCIENCIA, 2014
The present paper describes the development of a software for analysis of acoustic voice parameters (APAVOIX), which can be used for forensic acoustic purposes, based on the speaker recognition and identification. This software enables to observe in a clear manner, the parameters which are sufficient and necessary when performing a comparison between ...
Herrera Martínez, Marcelo, Aldana Blanco, Andrea Lorena, Guzmán Palacios, Ana María   +2 more
openaire   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
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, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Review of Automatic Estimation of Emotions in Speech

Applied Sciences
Identification of emotions exhibited in utterances is useful for many applications, e.g., assisting with handling telephone calls or psychological diagnoses. This paper reviews methods to identify emotions from speech signals.
Douglas O’Shaughnessy
doaj   +1 more source

Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus

, 2017
A ubiquitous problem in pattern recognition is that of matching an observed time-evolving pattern (or signal) to a gold standard in order to recognize or characterize the meaning of a dynamic phenomenon.
Chirikjian, Gregory S
core   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
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, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES [PDF]

Journal of Engineering Science and Technology, 2015
In recent years, speech technology has become a vital part of our daily lives. Various techniques have been proposed for developing Automatic Speech Recognition (ASR) system and have achieved great success in many applications.
VIMALA C., RADHA V.
doaj  

Likelihood-based semi-supervised model selection with applications to speech processing

, 2009
In conventional supervised pattern recognition tasks, model selection is typically accomplished by minimizing the classification error rate on a set of so-called development data, subject to ground-truth labeling by human experts or some other means.
Khudanpur, Sanjeev P., White, Christopher M., Wolfe, Patrick J.   +2 more
core   +1 more source