| 書(shū)目名稱(chēng) | Speech Recognition Using Articulatory and Excitation Source Features |
| 編輯 | K. Sreenivasa Rao,Manjunath K E |
| 視頻video | http://file.papertrans.cn/875/874022/874022.mp4 |
| 概述 | Focuses on articulatory features and various groups present within the general AFs.Proposes robust signal processing methods for extracting the excitation source features from LP residual signal.Discu |
| 叢書(shū)名稱(chēng) | SpringerBriefs in Speech Technology |
| 圖書(shū)封面 |  |
| 描述 | This book discusses the contribution of articulatory and excitation source information in discriminating?sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task,?discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Speech Recognition Using Excitation Source Features; Speech Recognition Using Articulatory Features; S |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-49220-9 |
| isbn_softcover | 978-3-319-49219-3 |
| isbn_ebook | 978-3-319-49220-9Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | The Author(s) 2017 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-5 23:17
發(fā)表于 2025-3-21 16:30:16
