By Jordi Sole-Casals, Vladimir Zaiats
This publication constitutes the lawsuits of the overseas convention on Advances in Nonlinear Speech Processing, NOLISP 2009, held in Vic (Barcelona), Spain in the course of June 25-27, 2009. the quantity offers with new rules, ideas and effects with regards to replacement techniques in speech processing.
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Additional info for Advances in Nonlinear Speech Processing: International Conference on Nonlinear Speech Processing, NOLISP 2009, Vic, Spain, June 25-27, 2009, Revised Selected
The future plan is to increase the number of emotion styles and use a more accurate independent style voice. References 1. : Expressive speech synthesis using a concatenative synthesizer. In: Proc. of ICSLP, Denver, USA (September 2002) 2. : Development of an emotional speech synthesizer in spanish. In: Proc of Eurospeech, Budapest, pp. 2099–2102 (1999) 3. : A system for transforming the emotion in speech: Combining data-driven conversion techniques for prosody and voice quality. In: Proc. of Interspeech, Antwerp, Belgium (August 2007) 4.
Details of nitech HMM-based speech synthesis system for the blizzard challenge 2005. IEICE Transactions on Fund. of Electronics, Comm. and Computer Sciences E90-D 1, 325–333 (2007) 9. : Aperiodicity extraction and control using mixed mode excitation and group delay manipulation for a high quality speech analysis, modiﬁcation and synthesis system straight. In: Proc. of MAVEBA (2001) 10. : Speech representation and transformation using adaptive interpolation of weighted spectrum: Vocoder revisited.
Further, its occurrence seems to be characteristic to certain speakers  and to certain emotional states . g. speech recognition, emotional state classification and speaker identification). J. Solé-Casals and V. ): NOLISP 2009, LNAI 5933, pp. 43–50, 2010. © Springer-Verlag Berlin Heidelberg 2010 44 T. Bőhm, Z. Both, and G. Németh Fig. 1. Waveform (top) and spectrogram (bottom) of a speech signal exhibiting irregular phonation (denoted by the arrow) A number of phonation type classifiers employing a wide spectrum of acoustic cues and decision algorithms are described in the literature.