BROWSE
Detail
Conference Paper
Emotion Recognition from Korean Language using MFCC, HMM, and Speech Speed
Cited - time in 
Share 
Share
- Authors
- Insuk Hong, Youjung Ko, Hyunsoon Shin, Yoongjoong Kim
- Issue Date
- 2016-07
- Citation
- International Conference on Multimedia Information Technology and Applications (MITA) 2016, pp.12-15
- Language
- English
- Type
- Conference Paper
- Abstract
- In this study, a method that created a model by emotion using the MFCC and HMM structure, which is widely used in voice recognition systems, was adopted, thereby including explicit information and adding energy and speech speed to the MFCC feature to propose an emotional recognition method that uses features for emotional recognition. In addition, the validity of the method was verified through experiments. Furthermore, an instantaneous calculation method of speech speed was proposed and the experiment verified that the recognition rate was improved by 2.5% using the proposed method. For the calculation of speech speed, a codebook size of 32, the instantaneous calculation method of speech speed, and a window size of 200ms were employed.
- KSP Keywords
- Emotion Recognition, Emotional Recognition, HMM structure, Korean language, Recognition Rate, Recognition method, Speech speed, Voice Recognition, Window Size, calculation method, explicit information