| 书目名称 | Emotion Recognition using Speech Features |
| 编辑 | K. Sreenivasa Rao,Shashidhar G. Koolagudi |
| 视频video | |
| 概述 | Discusses complete state-of -art features, models and databases in the context of emotion recognition.Explores implicit and explicit excitation source features for discriminating the emotions.Proposes |
| 丛书名称 | SpringerBriefs in Speech Technology |
| 图书封面 |  |
| 描述 | “Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions. The content of this book is important for designing and developing natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of:• Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers |
| 出版日期 | Book 2013 |
| 关键词 | Emotion Recognition; Emotion-discriminative Information; Emotion-specific Information; Excitation Sourc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-5143-3 |
| isbn_softcover | 978-1-4614-5142-6 |
| isbn_ebook | 978-1-4614-5143-3Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | Springer Science+Business Media New York 2013 |
发表于 2025-3-21 19:33:56
