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Cited by 15 publications
(8 citation statements)
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“…Linguists plays a major role to invent emotional states that mostly encountered in our lives. Linguistic information through words detect emotions in qualitative patterns [12]. But the drawback of linguistic information is cross culture diversities.…”
Section: Figure 1 Process Involved In Speech Emotion Recognition Systemmentioning
confidence: 99%
“…Linguists plays a major role to invent emotional states that mostly encountered in our lives. Linguistic information through words detect emotions in qualitative patterns [12]. But the drawback of linguistic information is cross culture diversities.…”
Section: Figure 1 Process Involved In Speech Emotion Recognition Systemmentioning
confidence: 99%
“…After processing with PRAAT software 51 each utterance was converted to a 133-dimensional prosodic feature vector based on well-established speech features, such as Pitch, Mel Frequency Cepstral Coefficients (MFCCs), energy and formant frequencies. 52 Thus, the dataset consists of 535 samples with 133 prosodic input variables to be categorized in 7 class labels. The second dataset (ECO) comprises of 188 seawater samples collected on monthly campaigns during one annual cycle (August '04-July '05) in Kalloni Gulf, Lesvos Island, Greece.…”
Section: Datasetsmentioning
confidence: 99%
“…This module extracts the feature vector from the speech. We employed popular features, two spectral features (MFCC: Mel frequency cepstral coefficient, LPC: Linear predictive coding) and two prosodic features (pitch, energy), in existing methods of the speech emotion recognition area [ 31 , 32 ]. The reasons for selecting these features are shown in Table 1 .…”
Section: Robust Personalized Emotion Recognition Frameworkmentioning
confidence: 99%