书目名称 | Robust Emotion Recognition using Spectral and Prosodic Features |
编辑 | K. Sreenivasa Rao,Shashidhar G. Koolagudi |
视频video | |
概述 | Deals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific |
丛书名称 | SpringerBriefs in Speech Technology |
图书封面 |  |
描述 | In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus. |
出版日期 | Book 2013 |
关键词 | Speaking Rate; Sub-syllabic Spectral Features; Syllable-level Prosidic Features; communication; pitch; pi |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4614-6360-3 |
isbn_softcover | 978-1-4614-6359-7 |
isbn_ebook | 978-1-4614-6360-3Series ISSN 2191-737X Series E-ISSN 2191-7388 |
issn_series | 2191-737X |
copyright | The Author(s) 2013 |