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Record Nr. |
UNINA9910455235503321 |
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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 |
Electronic books. |
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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 |
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