| 書(shū)目名稱(chēng) | Language Identification Using Spectral and Prosodic Features | | 編輯 | K. Sreenivasa Rao,V. Ramu Reddy,Sudhamay Maity | | 視頻video | http://file.papertrans.cn/581/580928/580928.mp4 | | 概述 | Discusses recently proposed spectral features extracted from glottal closure regions and pitch-synchronous analysis, which are more robust and carry high degree of language discrimination information. | | 叢書(shū)名稱(chēng) | SpringerBriefs in Speech Technology | | 圖書(shū)封面 |  | | 描述 | This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems. | | 出版日期 | Book 2015 | | 關(guān)鍵詞 | Combination of Spectral and Prosodic Features for LID; Intonation, Rhythm and Stress Features for LID | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-17163-0 | | isbn_softcover | 978-3-319-17162-3 | | isbn_ebook | 978-3-319-17163-0Series ISSN 2191-737X Series E-ISSN 2191-7388 | | issn_series | 2191-737X | | copyright | The Author(s) 2015 |
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