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Incorporating Knowledge Sources into Statistical Speech Recognition
Incorporating Knowledge Sources into Statistical Speech Recognition offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible. The authors p...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2009.
|
| Edición: | 1st ed. 2009. |
| Colección: | Lecture Notes in Electrical Engineering,
42 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-0-387-85830-2 | ||
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| 020 | |a 9780387858302 |9 978-0-387-85830-2 | ||
| 024 | 7 | |a 10.1007/978-0-387-85830-2 |2 doi | |
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| 100 | 1 | |a Sakti, Sakriani. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Incorporating Knowledge Sources into Statistical Speech Recognition |h [electronic resource] / |c by Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker. |
| 250 | |a 1st ed. 2009. | ||
| 264 | 1 | |a New York, NY : |b Springer US : |b Imprint: Springer, |c 2009. | |
| 300 | |a XXIV, 196 p. 100 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Lecture Notes in Electrical Engineering, |x 1876-1119 ; |v 42 | |
| 505 | 0 | |a and Book Overview -- Statistical Speech Recognition -- Graphical Framework to Incorporate Knowledge Sources -- Speech Recognition Using GFIKS -- Conclusions and Future Directions. | |
| 520 | |a Incorporating Knowledge Sources into Statistical Speech Recognition offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible. The authors provide an efficient general framework for incorporating knowledge sources into state-of-the-art statistical ASR systems. This framework, which is called GFIKS (graphical framework to incorporate additional knowledge sources), was designed by utilizing the concept of the Bayesian network (BN) framework. This framework allows probabilistic relationships among different information sources to be learned, various kinds of knowledge sources to be incorporated, and a probabilistic function of the model to be formulated. Incorporating Knowledge Sources into Statistical Speech Recognition demonstrates how the statistical speech recognition system may incorporate additional information sources by utilizing GFIKS at different levels of ASR. The incorporation of various knowledge sources, including background noises, accent, gender and wide phonetic knowledge information, in modeling is discussed theoretically and analyzed experimentally. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Acoustics. | |
| 650 | 0 | |a Telecommunication. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Electrical engineering. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Acoustics. |
| 650 | 2 | 4 | |a Communications Engineering, Networks. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 650 | 2 | 4 | |a Electrical and Electronic Engineering. |
| 700 | 1 | |a Markov, Konstantin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Nakamura, Satoshi. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Minker, Wolfgang. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781441946768 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387858821 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387858296 |
| 830 | 0 | |a Lecture Notes in Electrical Engineering, |x 1876-1119 ; |v 42 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-0-387-85830-2 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||