Results 41 to 50 of about 548,043 (300)
Photonic reservoir computing: a new approach to optical information processing [PDF]
Despite ever increasing computational power, recognition and classification problems remain challenging to solve. Recently advances have been made by the introduction of the new concept of reservoir computing.
Bienstman, Peter +5 more
core +2 more sources
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 +12 more
wiley +1 more source
Classification of emotional speech using spectral pattern features [PDF]
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound.
Ali Harimi +3 more
doaj +1 more source
Attention-based Wav2Text with Feature Transfer Learning
Conventional automatic speech recognition (ASR) typically performs multi-level pattern recognition tasks that map the acoustic speech waveform into a hierarchy of speech units.
Nakamura, Satoshi +2 more
core +1 more source
The Pattern Recognition Methods for Emotion Recognition with Speech Signal [PDF]
In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition is determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features.
openaire +1 more source
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 +8 more
wiley +1 more source
Environmental Sound Recognition Using Time-Frequency Intersection Patterns
Environmental sound recognition is an important function of robots and intelligent computer systems. In this research, we use a multistage perceptron neural network system for environmental sound recognition.
Xuan Guo +5 more
doaj +1 more source
Research on Speech Emotion Recognition Method Based A-CapsNet
Speech emotion recognition is a crucial work direction in speech recognition. To increase the performance of speech emotion detection, researchers have worked relentlessly to improve data augmentation, feature extraction, and pattern formation.
Yingmei Qi, Heming Huang, Huiyun Zhang
doaj +1 more source
Statistical pattern recognition approach to speech segmentation [PDF]
It is believed by many speech researchers that there is abundant information contained in the transition segments [J. L. Flanagan, Speech Analysis, Synthesis and Perception (1972), 2nd ed.]. This paper describes an algorithm to recognize different segments of connected speech, e.g., voiced, unvoiced, silence, and transition.
K. Ganesan, Wen C. Lin
openaire +1 more source
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 +7 more
wiley +1 more source

