Table 7 The performance comparisons between different frequency warping methods used in the proposed GMM-HMM/DNN-HMM EASR system for the Persian ESD and CREMA-D datasets and the system of Sheikhan et al. [15] for various acoustic features and emotional states
Sheikhan et al. [15] | Proposed | |
|---|---|---|
GMM-HMM | GMM-HMM (Persian ESD and CREMA-D) | DNN-HMM (CREMA-D) |
Features: MFCC Emotions: Anger, Happy | Features: MFCC, M-MFCC, GFCC, and PNCC Emotions: Anger, Disgust, Fear, Happy, and Sad | Features: ExpoLog, GFCC, and PNCC Emotions: Anger, Disgust, Fear, Happy, and Sad |
Warping > No Warping | Warping > No Warping | Warping > No Warping |
DCT > Filterbank | DCT > Filterbank | DCT |
Filterbank & DCT > DCT | Filterbank & DCT | Filterbank & DCT > DCT |
Filterbank & DCT > Filterbank | Filterbank & DCT | Filterbank & DCT |
Filterbank
DCT
Filterbank
Filterbank