Program
Speech Emotion Recognition III (SER III)
Thu-2-2-6 Comparison of glottal source parameter values in emotional vowels
Yongwei Li(National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences), Jianhua Tao(National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences), Bin Liu(National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences), Donna Erickson(Haskins Laboratories) and Masato Akagi(Japan Advanced Institute of Science and Technology)
Abstract:
Since glottal source plays an important role for expressing emotions in speech, it is crucial to compare a set of glottal source parameter values to find differences in these expressions of emotions for emotional speech recognition and synthesis. This paper focuses on comparing a set of glottal source parameter values among varieties of emotional vowels /a/ (joy, neutral, anger, and sadness) using an improved ARX-LF model algorithm. The set of glottal source parameters included in the comparison were Tp, Te, Ta, Ee, and F0(1/T0) in the LF model; parameter values were divided into 5 levels according to that of neutral vowel. Results showed that each emotion has its own levels for each set of the glottal source parameter value. These findings could be used for emotional speech recognition and synthesis.
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