Results 41 to 50 of about 1,068,399 (275)

Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection

, 2017
Speech recognition systems have achieved high recognition performance for several tasks. However, the performance of such systems is dependent on the tremendously costly development work of preparing vast amounts of task-matched transcribed speech data ...
Kato, Taku, Shinozaki, Takahiro
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

Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer

EURASIP Journal on Audio, Speech, and Music Processing, 2010
In patients suffering from head and neck cancer, speech intelligibility is often restricted. For assessment and outcome measurements, automatic speech recognition systems have previously been shown to be appropriate for objective and quick evaluation of ...
Andreas Maier, Tino Haderlein, Florian Stelzle, Elmar Nöth, Emeka Nkenke, Frank Rosanowski, Anne Schützenberger, Maria Schuster   +7 more
doaj   +1 more source

A user evaluation of speech/phrase recognition software in critically ill patients: a DECIDE-AI feasibility study

Critical Care, 2023
Objectives Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments. Design Prospective study. Setting Tertiary hospital critical care unit in the northwest of England.
M. Musalia, S. Laha, J. Cazalilla-Chica, J. Allan, L. Roach, J. Twamley, S. Nanda, M. Verlander, A. Williams, I. Kempe, I. I. Patel, F. Campbell-West, B. Blackwood, D. F. McAuley   +13 more
doaj   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges, Kelly A. Duffy, Sara McDonough, Evelyn Kurpiewski, R. Jennifer Randall, Allison Barz Leahy, Haley M. Newman, Joyce P. Lee, Stephen P. Hunger, Anne F. Reilly, David T. Teachey, Susan R. Rheingold, Daniel J. Zheng   +12 more
wiley   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

A Protection Scheme With Speech Processing Against Audio Adversarial Examples

IEEE Access
Machine learning technologies have improved the accuracy of speech recognition systems, and devices using those systems, such as smart speakers and AI assistants, are now in wide use. However, speech recognition systems have security vulnerabilities.
Yuya Tarutani, Taisei Yamamoto, Yukinobu Fukushima, Tokumi Yokohira   +3 more
doaj   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Primi Speech Recognition Based on Kaldi [PDF]

Jisuanji gongcheng, 2018
In order to improve the performance of Primi speech recognition system,the deep learning model is introduced into Primi speech recognition.The deep learning model is a large capacity and complex network model.Kaldi speech recognition toolkit is used as ...
HU Wenjun,FU Meijun,PAN Wenlin
doaj  

A hidden Markov optimization model for processing and recognition of English speech feature signals

Journal of Intelligent Systems, 2022
Speech recognition plays an important role in human–computer interaction. The higher the accuracy and efficiency of speech recognition are, the larger the improvement of human–computer interaction performance.
Chen Yinchun
doaj   +1 more source