Abstract
Both of the prosody and spectral features are important for emotional speech synthesis. Besides prosody effects, voice quality and articulation parameters are the factors that should be considered to modify in emotional speech synthetic systems. Generally, rules and filters are designed to process these parameters respectively. This paper proves that by modifying spectral envelope, the voice quality and articulation could be adjusted as a whole. Thus, it will not need to modify each of the parameter separately depending on rules. Accordingly, it will make the synthetic system more flexible by designing an automatic spectral envelope model based on some machine learning methods. The perception test in this paper also shows that when prosody and spectral features are all modified, the best emotional synthetic speech will be obtained.
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References
Cahn, J.E.: Generating expression in synthesized speech. Master’s thesis, Massachusetts Institute of Technology (1989)
Murray, I.R., Arnott, J.L.: Implementation and testing of a system for producing emotion-by-rule in synthetic speech. Speech Communication 16, 369–390 (1995)
Rank, E., Pirker, H.: Generating emotional speech with a concatenative synthesizer. In: Proceedings, ICSLP 1998, Sydney, Australia, vol. 3, pp. 671–674 (1998)
Iida, A., Campbell, N., Iga, S., Higuchi, F., Yasumura, M.: A Speech synthesis system with emotion for assisting communication. In: Proceedings of ISCA Workshop (ITRW) on Speech and Emotion, Newcastle, Northern Ireland, pp. 167–172 (2000)
Nagasaki, Y., Komatsu, T.: Can people perceive different emotions from a non-emotional voice by modifying its F0 and duration? In: Proceedings of Speech Prosody 2004, Nara, Japan (2004)
Gobl, C., Bennett, E., Ní, C.A.: Expressive synthesis: How crucial is voice quality? In: Proceedings of IEEE Workshop on Speech Synthesis, Santa, Monica (2002)
Moriyama, T., Ozawa, S.: Emotion recognition and synthesis system on speech. In: IEEE ICMCS 1999 (1999)
Hawkins, S., Stevens, K.: Acoustic and perceptual correlates of the non-nasal nasal distinction for vowels. Journal of the Acoustical Society of America 77, 1560–1575 (1985)
Klatt, D., Klatt, L.: Analysis, synthesis, and perception of voice quality variations among female and male talkers. Journal of the Acoustical Society of America 87, 820–857 (1990)
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© 2005 Springer-Verlag Berlin Heidelberg
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Shao, Y., Wang, Z., Han, J., Liu, T. (2005). Modifying Spectral Envelope to Synthetically Adjust Voice Quality and Articulation Parameters for Emotional Speech Synthesis. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_43
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DOI: https://doi.org/10.1007/11573548_43
Publisher Name: Springer, Berlin, Heidelberg
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