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Record Nr. |
UNINA9910779968703321 |
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Autore |
Junqua Jean-Claude |
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Titolo |
Robust speech recognition in embedded systems and PC applications [[electronic resource] /] / by Jean-Claude Junqua |
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Pubbl/distr/stampa |
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Boston, MA, : Kluwer Academic Publishers, 2000 |
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ISBN |
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1-280-20626-8 |
9786610206261 |
0-306-47027-6 |
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Edizione |
[1st ed. 2002.] |
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Descrizione fisica |
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1 online resource (200 p.) |
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Collana |
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The Kluwer international series in engineering and computer science ; ; SECS 563 |
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Disciplina |
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Soggetti |
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Embedded computer systems |
Automatic speech recognition |
Microcomputers |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Sources of Variability and Distortion in the Communication Process -- Environment-Independent Adaptive Speech Recognition: A Review of the State of the Art -- Confidence Measures, Dialog Modeling and User Interface -- From Cost Sensitive Embedded Applications to PC-based Systems -- Future Outlook for Robust ASR. |
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Sommario/riassunto |
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Robust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. We distinguish between embedded systems and PC-based applications. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog |
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and user interface technologies. Robust Speech Recognition in Embedded Systems and PC Applications is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown. The second chapter focuses on environment-independent/adaptive speech recognition approaches and on the mainstream methods applicable to noise robust speech recognition. The third chapter discusses several critical technologies that contribute to making an application usable. It also provides some design recommendations on how to design prompts, generate user feedback and develop speech user interfaces. The fourth chapter reviews several techniques that are particularly useful for embedded systems or to decrease computational complexity. It also presents some case studies for embedded applications and PC-based systems. Finally, the fifth chapter provides a future outlook for robust speech recognition, emphasizing the areas that the author sees as the most promising for the future. Robust Speech Recognition in Embedded Systems and PC Applications serves as a valuable reference and although not intended as a formal University textbook, contains some material that can be used for a course at the graduate or undergraduate level. It is a good complement for the book entitled Robustness in Automatic Speech Recognition: Fundamentals and Applications co-authored by the same author. |
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2. |
Record Nr. |
UNINA9910299256203321 |
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Autore |
Pavlovic Mirjana |
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Titolo |
Bioengineering and Cancer Stem Cell Concept / / by Mirjana Pavlovic, Bela Balint |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (152 p.) |
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Disciplina |
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Soggetti |
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Bioinformatics |
Stem cells |
Cancer - Research |
Computational Biology/Bioinformatics |
Stem Cells |
Cancer Research |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Normal Stem Cell: Entity or State? -- Normal Stem Cells: Biology, Collection/Harvesting, and Ex Vivo Manipulations -- A Concept of Cancer Stem Cells: Entity and Theories -- Cancer Stem Cell Markers: Classification and Their Significance in Cancer Stem Cells -- Epigenetic Mechanisms Involved in Cancer Stem Cell Profiles -- Mitochondrial Respiration of Cancer Stem Cells -- Metabolism in Cancer Stem Cells -- Different Approaches for Anticancer/Antitumor Therapy -- Targeted Cancer Stem Cell Therapy -- Bioengineered CSC Tumors -- Summary on the Role of Bioengineering in the Cancer Stem Cell Paradigm. |
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Sommario/riassunto |
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This book explores the role of cancer stem cells in the diagnosis, treatment, and cure of cancers. This book also tackles novel methodology for cancer stem cell marker identification, cancer stem cell respiration and metabolism, genetic and epigenetic mechanisms including DNA methylation, and mi-RNA assemble. It also emphasizes the role of Bioinformatics techniques, which provide a novel methodology for modeling cancer outcomes. The authors investigate the difference between cancer stem cells and normal stem cells, along |
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with the concept of targeted cancer stem cell therapy. Although the theoretical explanations of cancer stem cell involvement in leukemia and solid cancers are controversial, there is now little doubt that cancer stem cells exist within otherwise heterogeneous cancer cell population. The brief examines the two leading theories, hierarchical and the stochastic/cancer stem cell model. Researchers, professors and advanced-level students focused on bioengineering and computer science will find this book to be a valuable resource. It is a very good source of critical references for understanding of this problem, and a useful tool for professionals in related fields. |
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