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Increase student reading fluency in 5th grade with this engaging and effective lesson! Through strategic use of Fry's Instant Words, students will both improve reading prosody and build important comprehension skills.
Using Dr. Fry's Instant Words and Dr. Rasinski's research, these books provide a powerful tool for building fluency. Each of the books in this series provides a clear direction on how to teach students to recognize words, read phrases with expressions, and ultimately improve comprehension. Each book includes: A fluency assessment rubric and a reference list of oral reading fluency strategies 20 four-page lessons on phrasing plus activities for practicing comprehension and fluency activities Audio CD with oral reading of the phrase list and reading selection from each lesson 96pp. plus Audio CD and Teacher CD
This book presents cutting-edge research on the production and perception of speech rhythm by speakers of English in countries where it is used as a foreign language or an institutionalised second language (also sometimes known as the Expanding and Outer Circles). It contributes to a better understanding of speech rhythm, which has long been recognised as an important supra-segmental category of speech, focusing on its relevance in World Englishes, Second Language Acquisition and learner varieties of English, as well as the sociolinguistic and perceptual significance of this phonological variable.
Published in the year 1984, Educating the Young Thinker is a valuable contribution to the field of Cognitive Psychology.
This text illustrates an approach to prosodic typology through descriptions of the intonation and the prosodic structure of 13 typologically different languages based on the same theoretical framework and the transcription system of prosody known as Tones and Break Indices (ToBI).
A wide range of fields of study support speech research. They cover many fields like for instance phonetics, linguistics, psychology, cognitive science, sonics, information engineering (information theory, pattern recognition, artificial intelligence), and it is an extremely difficult job to carry all of these in one body.The first half of this book gives detailed descriptions of engineering applications, that is the speech, hearing and perception mechanisms that form the basis for automatic synthesis and recognition of speech. The second half of this book gives a detailed explanation of speech synthesis and recognition based on a collective physiological approach, that is the artificial neural networks which imitate human neural networks and have once again been bathed in attention lately. The characteristics of this book are that, along with having engineers and technicians as its main targets, it explains engineering models based on speech science.
A breakthrough approach to improving biometrics performanceConstructing robust information processing systems for face and voice recognitionSupporting high-performance data fusion in multimodal systemsAlgorithms, implementation techniques, and application examples Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matchingTheoretical pillars of machine learning for complex pattern recognition and classificationExpectation-maximization (EM) algorithms and support vector machines (SVM)Multi-layer learning models and back-propagation (BP) algorithmsProbabilistic decision-based neural networks (PDNNs) for face biometricsFlexible structural frameworks for incorporating machine learning subsystems in biometric applicationsHierarchical mixture of experts and inter-class learning strategies based on class-based modular networksMulti-cue data fusion techniques that integrate face and voice recognitionApplication case studies
In this multisensory phonics technique, students first learn the sounds of letters, and the build these letter-sounds into words. Visual, auditory and kinesthetic associations are used to remember the concepts. Training is recommended.
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