By Jordi Sole-Casals, Vladimir Zaiats
This ebook constitutes the court cases of the foreign 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 principles, recommendations and effects on the topic of 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
The main features of the HMM-TTS system are described in the following sections. 1 Vocal Tract Modelling The system uses a 39th-order mel-cepstral as the vocal tract representation computed from the spectrum of STRAIGHT  through a recursive algorithm . The conventional mel-cepstral suﬀers from the F0 eﬀect in the lower frequency range when the order is high because it captures the harmonics instead of the actual envelope. Using the F0 values, STRAIGHT carries out a F0-adaptive spectral analysis combined with a surface reconstruction method in the timefrequency region to remove signal periodicity.
The enhancement consists in evaluating the Z-transform on a contour possibly diﬀerent from the unit circle. For this we considered, in the Z-plane, circles whose radius is automatically determined by detecting a discontinuity in the root distribution. It is expected that such circles lead to a better separation of both causal and anticausal contributions. Results obtained on synthetic and real speech signals report an advantage for the proposed ZCZT-based technique, mainly when GCIs are not accurately localized.
Table 1 summarizes the experimental setup. Note that since the mean pitch during the utterances for which the LP coeﬃcients were extracted was about 100 Hz, it reasonable to consider that the fundamental frequency should not exceed 60 and 180 Hz in continuous speech. To evaluate the performance of our methods, two objective measures are used: – the determination rate on the glottal formant frequency Fg : As one of the main feature of the glottal source, the glottal formant  should be preserved after estimation.