Abstract
In this paper, the dynamics of prosodic features are exploited for speech emotion conversion. In particular, emotion conversion of neutral speech to anger speech is accomplished. The database used for analysis of prosody is the Indian Institute of Technology Kharagpur Simulated Emotion Speech Corpus (IITKGP-SESC). The prosodic features considered for the study are pitch contour, intensity contour, and duration contour. Objective test is performed in terms of average of pitch contour and intensity contour. Subjective listening test results show that the effectiveness of perception of emotion is better in the case of pitch contour modification at the beginning and ending of utterance than for the whole utterance. The results show that the synthesized anger speech is perceived very close to natural anger emotion.
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© 2013 Springer International Publishing Switzerland
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Vuppala, A.K., Limmayya, J., Raghavendra, G. (2013). Neutral Speech to Anger Speech Conversion Using Prosody Modification. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_39
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DOI: https://doi.org/10.1007/978-3-319-03844-5_39
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03843-8
Online ISBN: 978-3-319-03844-5
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