By Jordi Sole-Casals, Vladimir Zaiats
This booklet constitutes the court cases 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 amount offers with new principles, options and effects concerning replacement techniques in speech processing.
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Additional resources for Advances in Nonlinear Speech Processing: International Conference on Nonlinear Speech Processing, NOLISP 2009, Vic, Spain, June 25-27, 2009, Revised Selected
In that article, it is observed that the window shape and onset may lead to zeros whose topology can be detrimental for accurate pulse Glottal Source Estimation Using an Automatic Chirp Decomposition 37 estimation. e maximum-phase) components. For this, we evaluate the CZT on a circle whose radius R is chosen so as to split the root distribution into two well-separated groups. More precisely, it is observed that the signiﬁcant impulse present in the excitation at the GCI results in a gap in the root distribution.
It has been shown to be a cue to segmental contrasts and to prosodic structure in several languages . 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.
A subjective evaluation will show the quality of the system and the intensity of the produced emotion while an objective evaluation based on voice quality parameters evaluates the eﬀectiveness of the approaches. Keywords: HMM-based speech synthesis, emotion, adaptation. 1 Introduction Current state-of-the-art text-to-speech (TTS) systems are often able to produce intelligible and natural speech, but the speaking style is typically restricted to neutral style and so does not exhibit the full range of natural speech.