Speech Recognition
Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for search...
Αποθηκεύτηκε σε:
| Μορφή: | Online |
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| Γλώσσα: | Αγγλικά |
| Έκδοση: |
IntechOpen
2021
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| Θέματα: | |
| Διαθέσιμο Online: | ONIX_20210420_9789537619299_58 |
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| _version_ | 1869530471238467584 |
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| collection | Directory of Open Access Books |
| description | Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes. |
| format | Online |
| id | doab-20.500.12854ir-64702 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-647022024-04-14T10:28:22Z Speech Recognition Mihelic, France Zibert, Janez Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes. 2021-04-20T14:53:44Z 2021-04-20T14:53:44Z 2008 book ONIX_20210420_9789537619299_58 9789537619299 9789535157533 https://directory.doabooks.org/handle/20.500.12854/64702 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3785/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/93 10.5772/93 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789537619299 9789535157533 IntechOpen 578 open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Speech Recognition |
| title | Speech Recognition |
| title_full | Speech Recognition |
| title_fullStr | Speech Recognition |
| title_full_unstemmed | Speech Recognition |
| title_short | Speech Recognition |
| title_sort | speech recognition |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9789537619299_58 |