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Hierarchical Neural Network Structures For Phoneme Recognition
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Book Synopsis Hierarchical Neural Network Structures for Phoneme Recognition by : Daniel Vasquez
Download or read book Hierarchical Neural Network Structures for Phoneme Recognition written by Daniel Vasquez and published by Springer Science & Business Media. This book was released on 2012-10-17 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.
Book Synopsis Hierarchical Neural Network Structures for Modeling Inter and Intra Phonetic Information for Phoneme Recognition by : Daniel Vasquez
Download or read book Hierarchical Neural Network Structures for Modeling Inter and Intra Phonetic Information for Phoneme Recognition written by Daniel Vasquez and published by . This book was released on 2011 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hierarchical Neural Network Structures for Phoneme Recognition by : Daniel Vasquez
Download or read book Hierarchical Neural Network Structures for Phoneme Recognition written by Daniel Vasquez and published by Springer Science & Business Media. This book was released on 2012-10-18 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.
Book Synopsis Artificial Intelligence and Speech Technology by : Amita Dev
Download or read book Artificial Intelligence and Speech Technology written by Amita Dev and published by Springer Nature. This book was released on 2022-01-28 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.
Book Synopsis Advances in Nonlinear Speech Processing by : Jordi Sole-Casals
Download or read book Advances in Nonlinear Speech Processing written by Jordi Sole-Casals and published by Springer Science & Business Media. This book was released on 2010-02-18 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of NOLISP 2009, an ISCA Tutorial and Workshop on Non-Linear Speech Processing held at the University of Vic (- talonia, Spain) during June 25-27, 2009. NOLISP2009wasprecededbythreeeditionsofthisbiannualeventheld2003 in Le Croisic (France), 2005 in Barcelona, and 2007 in Paris. The main idea of NOLISP workshops is to present and discuss new ideas, techniques and results related to alternative approaches in speech processing that may depart from the mainstream. In order to work at the front-end of the subject area, the following domains of interest have been de?ned for NOLISP 2009: 1. Non-linear approximation and estimation 2. Non-linear oscillators and predictors 3. Higher-order statistics 4. Independent component analysis 5. Nearest neighbors 6. Neural networks 7. Decision trees 8. Non-parametric models 9. Dynamics for non-linear systems 10. Fractal methods 11. Chaos modeling 12. Non-linear di?erential equations The initiative to organize NOLISP 2009 at the University of Vic (UVic) came from the UVic Research Group on Signal Processing and was supported by the Hardware-Software Research Group. We would like to acknowledge the ?nancial support obtained from the M- istry of Science and Innovation of Spain (MICINN), University of Vic, ISCA, and EURASIP. All contributions to this volume are original. They were subject to a doub- blind refereeing procedure before their acceptance for the workshop and were revised after being presented at NOLISP 2009.
Book Synopsis Hierarchical Neural Networks for Image Interpretation by : Sven Behnke
Download or read book Hierarchical Neural Networks for Image Interpretation written by Sven Behnke and published by Springer. This book was released on 2003-11-18 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.
Book Synopsis Advances in Nonlinear Speech Processing by : Mohamed Chetouani
Download or read book Advances in Nonlinear Speech Processing written by Mohamed Chetouani and published by Springer Science & Business Media. This book was released on 2008-01-11 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This intriguing book constitutes the thoroughly refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on nonlinear and non-conventional techniques, speech synthesis, speaker recognition, speech recognition, and many other subjects.
Book Synopsis The Practical Bioinformatician by : Limsoon Wong
Download or read book The Practical Bioinformatician written by Limsoon Wong and published by World Scientific. This book was released on 2004 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer scientists have increasingly been enlisted as OC bioinformaticiansOCO to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: . OCo Overview of modern molecular biology and a broad spectrum of techniques from computer science OCo data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. OCo In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. OCo Incisive discussion of computational prediction of secondary structure of RNA sequences. OCo Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. OCo Overview of methods for discovering proteinOCoprotein interactions. OCo Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. OCo Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery. Sample Chapter(s). Chapter 4: Techniques for Recognition of Translation Initiation Sites (385 KB). Chapter 10: Homology Search Methods (483 KB). Contents: Molecular Biology for the Practical Bioinformatician; Strategy and Planning of Bioinformatics Experiments; Data Mining Techniques for the Practical Bioinformatician; Techniques for Recognition of Translation Initiation Sites; How Neural Networks Find Promoters Using Recognition of Micro-Structural Promoter Components; Neural-Statistical Model of TATA-Box Motifs in Eukaryotes; Tuning the Dragon Promoter Finder System for Human Promoter Recognition; RNA Secondary Structure Prediction; Protein Localization Prediction; Homology Search Methods; Analysis of Phylogeny: A Case Study on Saururaceae; Functional Annotation and Protein Families: From Theory to Practice; Discovering ProteinOCoProtein Interactions; Techniques for Analysis of Gene Expression; Genome-Wide cDNA Oligo Probe Design and Its Applications in i>Schizosaccharomyces Pombe; Mining New Motifs from cDNA Sequence Data; Technologies for Biological Data Integration; Construction of Biological Databases: A Case Study on the Protein Phosphatase DataBase (PPDB); A Family Classification Approach to Functional Annotation of Proteins; Informatics for Efficient EST-Based Gene Discovery in Normalized and Subtracted cDNA Libraries. Readership: Computer scientists planning to be a bioinformatician; computer science undergraduates in their sophomore and/or senior years."
Book Synopsis Supervised Sequence Labelling with Recurrent Neural Networks by : Alex Graves
Download or read book Supervised Sequence Labelling with Recurrent Neural Networks written by Alex Graves and published by Springer Science & Business Media. This book was released on 2012-02-09 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the framework in a natural way to data with more than one spatio-temporal dimension, such as images and videos. Thirdly, the use of hierarchical subsampling makes it feasible to apply the framework to very large or high resolution sequences, such as raw audio or video. Experimental validation is provided by state-of-the-art results in speech and handwriting recognition.
Book Synopsis Artificial Neural Networks by : K. Mäkisara
Download or read book Artificial Neural Networks written by K. Mäkisara and published by Elsevier. This book was released on 2014-06-28 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume proceedings compiles a selection of research papers presented at the ICANN-91. The scope of the volumes is interdisciplinary, ranging from mathematics and engineering to cognitive sciences and biology. European research is well represented. Volume 1 contains all the orally presented papers, including both invited talks and submitted papers. Volume 2 contains the plenary talks and the poster presentations.
Book Synopsis Hierarchy and dynamics in neural networks by : Rolf Kötter
Download or read book Hierarchy and dynamics in neural networks written by Rolf Kötter and published by Frontiers E-books. This book was released on 2012-01-01 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hierarchy is a central feature in the organisation of complex biological systems and particularly the structure and function of neural networks. While other aspects of brain connectivity such as regionalisation, modularity or motif composition have been discussed elsewhere, no detailed analysis has been presented so far on the role of hierarchy and its connection to brain dynamics. Recent discussions among many of our colleagues have shown an increasing interest in hierarchy (of spatial, temporal and dynamic features), and this is an emerging key question in neuroscience as well as generally in the field of network science, due to its links with concepts of control, efficiency and development across scales (e.g. Hilgetag et al. Science, 1996; Ravasz et al. Science, 2002; Bassett et al. PNAS, 2006; Mueller-Linow et al. PLoS Comp. Biol., in press). The proposed Research Topic will address recent findings from a theoretical as well as experimental perspective including contributions under the following four headings: 1) Topology: Detecting and characterizing network hierarchy; 2) Experiments: Neural dynamics across hierarchical scales; 3) Dynamics: Activity spread, oscillations, and synchronization in hierarchical networks; 4) Dynamics: Stable functioning and information processing in hierarchical networks.
Author :Yoshua Bengio Publisher :London ; Toronto : International Thomson Computer Press ISBN 13 : Total Pages :184 pages Book Rating :4.3/5 (91 download)
Book Synopsis Neural Networks for Speech and Sequence Recognition by : Yoshua Bengio
Download or read book Neural Networks for Speech and Sequence Recognition written by Yoshua Bengio and published by London ; Toronto : International Thomson Computer Press. This book was released on 1996 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequence recognition is a crucial element in many applications in the fields of speech analysis, control, and modeling. This book applies the techniques of neural networks and hidden Markov models to the problems of sequence recognition, and as such will prove valuable to researchers and graduate students alike.
Book Synopsis Proceedings of the Winter, 1990, International Joint Conference on Neural Networks by : Maureen Caudill
Download or read book Proceedings of the Winter, 1990, International Joint Conference on Neural Networks written by Maureen Caudill and published by Taylor & Francis. This book was released on 2022-03-10 with total page 1588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set provides the complete proceedings of the 1990 International Joint Conference on Neural Networks held in Washington, D.C. Complete with subject, author, and title indices, it provides an invaluable reference to the current state-of-the-art in neural networks. Included in this volume are the latest research results, applications, and products from over 2,000 researchers and application developers from around the world. Ideal as a reference for researchers and practitioners of neuroscience, the two volumes are divided into eight sections: * Neural and Cognitive Sciences * Pattern Recognition and Analysis of Network Dynamics * Learning Theory * Plenary Lecture by Bernard Widrow * Special Lectures on Self-Organizing Neural Architectures * Application Systems and Network Implementations * Robotics, Speech, Signal Processing, and Vision * Expert Systems and Other Real-World Applications
Book Synopsis Artificial Intelligence in Vision-Based Structural Health Monitoring by : Khalid M. Mosalam
Download or read book Artificial Intelligence in Vision-Based Structural Health Monitoring written by Khalid M. Mosalam and published by Springer Nature. This book was released on 2024 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book introduces and implements the state-of-the-art machine learning and deep learning technologies for vision-based SHM applications. Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications. In the introduction, a brief coverage about the development progress of AI technologies in the vision-based area is presented. It gives the readers the motivations and background of the relevant research. In Part I, basic knowledges of machine and deep learning are introduced, which provide the foundation for the readers irrespective of their background. In Part II, to verify the effectiveness of the AI methods, the key procedure of the typical AI-aided SHM applications (classification, localization, and segmentation) is explored, including vision data collection, data pre-processing, transfer learning-based training mechanism, evaluation, and analysis. In Part III, advanced AI topics, e.g., generative adversarial network, semi-supervised learning, and active learning, are discussed. They aim to address several critical issues in practical projects, e.g., the lack of well-labeled data and imbalanced labels, to improve the adaptability of the AI models. In Part IV, the new concept of "resilient AI" is introduced to establish an intelligent disaster prevention system, multi-modality learning, multi-task learning, and interpretable AI technologies. These advances are aimed towards increasing the robustness and explainability of the AI-enabled SHM system, and ultimately leading to improved resiliency. The scope covered in this book is not only beneficial for education purposes but also is essential for modern industrial applications. The target audience is broad and includes students, engineers, and researchers in civil engineering, statistics, and computer science
Book Synopsis Advances In Pattern Recognition Systems Using Neural Network Technologies by : Patrick S P Wang
Download or read book Advances In Pattern Recognition Systems Using Neural Network Technologies written by Patrick S P Wang and published by World Scientific. This book was released on 1994-01-01 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:A Connectionist Approach to Speech Recognition (Y Bengio)Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)Boosting Performance in Neural Networks (H Drucker et al.)An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)and other papers Readership: Computer scientists and engineers.
Book Synopsis The SAGE Encyclopedia of Human Communication Sciences and Disorders by : Jack S. Damico
Download or read book The SAGE Encyclopedia of Human Communication Sciences and Disorders written by Jack S. Damico and published by SAGE Publications. This book was released on 2019-03-01 with total page 2354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Encyclopedia of Human Communication Sciences and Disorders is an in-depth encyclopedia aimed at students interested in interdisciplinary perspectives on human communication—both normal and disordered—across the lifespan. This timely and unique set will look at the spectrum of communication disorders, from causation and prevention to testing and assessment; through rehabilitation, intervention, and education. Examples of the interdisciplinary reach of this encyclopedia: A strong focus on health issues, with topics such as Asperger's syndrome, fetal alcohol syndrome, anatomy of the human larynx, dementia, etc. Including core psychology and cognitive sciences topics, such as social development, stigma, language acquisition, self-help groups, memory, depression, memory, Behaviorism, and cognitive development Education is covered in topics such as cooperative learning, special education, classroom-based service delivery The editors have recruited top researchers and clinicians across multiple fields to contribute to approximately 640 signed entries across four volumes.
Book Synopsis Designing Smart Homes by : Juan Carlos Augusto
Download or read book Designing Smart Homes written by Juan Carlos Augusto and published by Springer Science & Business Media. This book was released on 2006-06-29 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The area of smart homes is fast developing as an emergent area which attracts the synergy of several areas of science. This volume offers a collection of contributions addressing how artificial intelligence (AI), one of the core areas of computer science, can bring the growing area of smart homes to a higher level of functionality where homes can truly realize the long standing dream of proactively helping their inhabitants in an intelligent way. After an introductory section to describe a smart home scenario and to provide some basic terminology, the following 9 sections turn special attention to a particular exemplar application scenario (provision of healthcare and safety related services to increase the quality of life) exploring the application of specific areas of AI to this scenario.
