Robust automatic speech recognition a bridge to practical applications
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that hav...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Waltham, MA
Academic Press, an imprint of Elsevier
[2016]
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| 100 | 1 | |a Li, Jinyu |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Robust automatic speech recognition |b a bridge to practical applications |c Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifang Gong |
| 264 | 1 | |a Waltham, MA |b Academic Press, an imprint of Elsevier |c [2016] | |
| 264 | 4 | |c © 2016 | |
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| 500 | |a Includes bibliographical references and index | ||
| 520 | |a Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognitionLearn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology developmentBe able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition | ||
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| 650 | 7 | |a Automatic speech recognition |2 fast | |
| 650 | 7 | |a Speech processing systems |2 fast | |
| 650 | 4 | |a Automatic speech recognition | |
| 650 | 4 | |a Speech processing systems | |
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Datensatz im Suchindex
| _version_ | 1804180447603720192 |
|---|---|
| any_adam_object | |
| author | Li, Jinyu Deng, Li 1958- Haeb-Umbach, Reinhold Gong, Yifan |
| author_facet | Li, Jinyu Deng, Li 1958- Haeb-Umbach, Reinhold Gong, Yifan |
| author_role | aut aut aut aut |
| author_sort | Li, Jinyu |
| author_variant | j l jl l d ld r h u rhu y g yg |
| building | Verbundindex |
| bvnumber | BV046126962 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)ocn927438020 (OCoLC)927438020 (DE-599)BVBBV046126962 |
| dewey-full | 006.54 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.54 |
| dewey-search | 006.54 |
| dewey-sort | 16.54 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV046126962 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:55Z |
| institution | BVB |
| isbn | 9780128026168 0128026162 0128023988 9780128023983 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507416 |
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| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Academic Press, an imprint of Elsevier |
| record_format | marc |
| spelling | Li, Jinyu Verfasser aut Robust automatic speech recognition a bridge to practical applications Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifang Gong Waltham, MA Academic Press, an imprint of Elsevier [2016] © 2016 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognitionLearn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology developmentBe able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition COMPUTERS / General bisacsh Automatic speech recognition fast Speech processing systems fast Automatic speech recognition Speech processing systems Automatische Spracherkennung (DE-588)4003961-4 gnd rswk-swf Automatische Spracherkennung (DE-588)4003961-4 s 1\p DE-604 Deng, Li 1958- aut Haeb-Umbach, Reinhold aut Gong, Yifan aut Erscheint auch als Druck-Ausgabe 9780128023983 http://www.sciencedirect.com/science/book/9780128023983 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Li, Jinyu Deng, Li 1958- Haeb-Umbach, Reinhold Gong, Yifan Robust automatic speech recognition a bridge to practical applications COMPUTERS / General bisacsh Automatic speech recognition fast Speech processing systems fast Automatic speech recognition Speech processing systems Automatische Spracherkennung (DE-588)4003961-4 gnd |
| subject_GND | (DE-588)4003961-4 |
| title | Robust automatic speech recognition a bridge to practical applications |
| title_auth | Robust automatic speech recognition a bridge to practical applications |
| title_exact_search | Robust automatic speech recognition a bridge to practical applications |
| title_full | Robust automatic speech recognition a bridge to practical applications Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifang Gong |
| title_fullStr | Robust automatic speech recognition a bridge to practical applications Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifang Gong |
| title_full_unstemmed | Robust automatic speech recognition a bridge to practical applications Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifang Gong |
| title_short | Robust automatic speech recognition |
| title_sort | robust automatic speech recognition a bridge to practical applications |
| title_sub | a bridge to practical applications |
| topic | COMPUTERS / General bisacsh Automatic speech recognition fast Speech processing systems fast Automatic speech recognition Speech processing systems Automatische Spracherkennung (DE-588)4003961-4 gnd |
| topic_facet | COMPUTERS / General Automatic speech recognition Speech processing systems Automatische Spracherkennung |
| url | http://www.sciencedirect.com/science/book/9780128023983 |
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