Robust Emotion Recognition using Spectral and Prosodic Features
-
- $59.99
-
- $59.99
Publisher Description
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.
More Books Like This
More Books by K. Sreenivasa Rao & Shashidhar G. Koolagudi
Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
2018
Speech Recognition Using Articulatory and Excitation Source Features
2017
Language Identification Using Spectral and Prosodic Features
2015
Language Identification Using Excitation Source Features
2015
Robust Speaker Recognition in Noisy Environments
2014
Speech Processing in Mobile Environments
2014