By Christophe d’Alessandro, Baris Bozkurt, Boris Doval, Thierry Dutoit, Nathalie Henrich (auth.), Mohamed Chetouani, Amir Hussain, Bruno Gas, Maurice Milgram, Jean-Luc Zarader (eds.)
This e-book constitutes the completely refereed postproceedings of the overseas convention on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in may perhaps 2007.
The 24 revised complete papers offered have been rigorously reviewed and chosen from quite a few submissions for inclusion within the booklet. The papers are geared up in topical sections on nonlinear and nonconventional recommendations, speech synthesis, speaker attractiveness, speech attractiveness, speech research, and exploitation of non-linear techniques.
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Additional info for Advances in Nonlinear Speech Processing: International Conference on Non-Linear Speech Processing, NOLISP 2007 Paris, France, May 22-25, 2007 Revised Selected Papers
Matching is performed between each pair (Sk ,Slλ ) related to SIFT descriptors extracted from faces k and l retained from V λ and V respectively. In this case, l,λ Cij and Rij elements are computed between sk, i and sj descriptors. e: the number of matchings between descriptors) is obtained for each pair (Sk ,Slλ ). These scores are ﬁrstly normalized according to the number of SIFT descriptors and their mean then produces a single score: λ S(V , V ) = 1 (NfSIFT )2 NfSIFT NfSIFT k=1 l=1 M (Sk , Slλ ) .
112(2), 701–710 (2002) 3. : Short-time phase spectrum in speech processing: A review and some experimental results. Digital Signal Processing 17, 578–616 (2007) 4. : Improved differential phase spectrum processing for formant tracking. In: Interspeech 2004-ICSLP. 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 4-8, 2004, 4 pages (2004) 5. : Appropriate windowing for group delay analysis and roots of z-transform of speech signals. In: EUSIPCO 2004. 12th European Signal Processing Conference, EURASIP, Vienna, Austria, September 6-10, 2004, 4 pages (2004) 26 C.
2 Managing Sampling Rates and Alignement Two issues arise when ﬁrst comparing an audio stream with a visual one: the diﬀerence in sampling rates and the alignement. Concerning sample rates, any easy solution to recover a common sampling rate is to choose for a reference which may be the audio rate or the visual one. In the ﬁrst case, the visual signal must be over sampled. 3). Another problem is alignement. Audio and visual streams may not be synchronised at a particular time due to co-articulation eﬀects and articulator inertia.
Advances in Nonlinear Speech Processing: International Conference on Non-Linear Speech Processing, NOLISP 2007 Paris, France, May 22-25, 2007 Revised Selected Papers by Christophe d’Alessandro, Baris Bozkurt, Boris Doval, Thierry Dutoit, Nathalie Henrich (auth.), Mohamed Chetouani, Amir Hussain, Bruno Gas, Maurice Milgram, Jean-Luc Zarader (eds.)