| 書目名稱 | Incorporating Knowledge Sources into Statistical Speech Recognition |
| 編輯 | Wolfgang Minker,Satoshi Nakamura,Sakriani Sakti |
| 視頻video | http://file.papertrans.cn/464/463335/463335.mp4 |
| 概述 | Provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems.Demonstrates applications to existing ASR problems with their respecti |
| 叢書名稱 | Lecture Notes in Electrical Engineering |
| 圖書封面 |  |
| 描述 | .Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.. |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Acoustic Modeling; Automatic Speech Recognition; Bayesian Network; Junction Tree; Knowledge Source Incop |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-85830-2 |
| isbn_softcover | 978-1-4419-4676-8 |
| isbn_ebook | 978-0-387-85830-2Series ISSN 1876-1100 Series E-ISSN 1876-1119 |
| issn_series | 1876-1100 |
| copyright | Springer-Verlag US 2009 |
|Archiver|手機(jī)版|小黑屋|
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