Download Advances in Nonlinear Speech Processing: 5th International by Pedro Gómez-Vilda, Victoria Rodellar-Biarge, Víctor PDF

By Pedro Gómez-Vilda, Victoria Rodellar-Biarge, Víctor Nieto-Lluis, Cristina Muñoz-Mulas (auth.), Carlos M. Travieso-González, Jesús B. Alonso-Hernández (eds.)

ISBN-10: 3642250203

ISBN-13: 9783642250200

This ebook constitutes the lawsuits of the fifth overseas convention on Nonlinear Speech Processing, NoLISP 2011, held in Las Palmas de Gran Canaria, Spain, in November 2011. the aim of the workshop is to offer and talk about new principles, concepts and effects regarding replacement techniques in speech processing which can go away from the most move.
The 33 papers offered including 2 keynote talks have been rigorously reviewed and chosen for inclusion during this publication. the subjects of NOLISP 2011 have been non-linear approximation and estimation; non-linear oscillators and predictors; higher-order records; self sustaining part research; nearest acquaintances; neural networks; choice timber; non-parametric versions; dynamics of non-linear structures; fractal tools; chaos modeling; and non-linear differential equations.

Show description

Read Online or Download Advances in Nonlinear Speech Processing: 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011. Proceedings PDF

Best international books

IFM’99: Proceedings of the 1st International Conference on Integrated Formal Methods, York, 28-29 June 1999

Formal tools were confirmed because the rigorous engineering method for the process improvement. utilizing formal ways to a wide and complicated approach improvement usually calls for the modelling of other elements of one of these method. for example, advanced platforms (such as built-in avionics structures, engine keep watch over software program) can contain sensible and timing necessities that needs to be ultimately applied as executing code on a speaking dispensed topology.

Information Systems: Methods, Models, and Applications: 4th International United Information Systems Conference, UNISCON 2012, Yalta, Ukraine, June 1-3, 2012, Revised Selected Papers

This quantity constitutes the complaints of the 4th overseas United info structures convention, UNISCON 2012, which used to be held in Yalta, Ukraine, in the course of June 1-3, 2012. UNISCON 2012 was once affiliated with the eighth overseas convention on ICT in schooling, learn, and business functions, ICTERI 2012.

Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II

This quantity set LNCS 7825 and LNCS 7826 constitutes the refereed complaints of the 18th foreign convention on Database structures for complex functions, DASFAA 2013, held in Wuhan, China, in April 2013. The fifty one revised complete papers and 10 brief papers awarded including 2 invited keynote talks, 1 invited paper, three commercial papers, nine demo displays, four tutorials and 1 panel paper have been conscientiously reviewed and chosen from a complete of 227 submissions.

Additional resources for Advances in Nonlinear Speech Processing: 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011. Proceedings

Example text

J), n ˜ i (t) is the additive noise, and L is the length of the mixing filter. In the TF domain, the model (1) can be expressed as: J xif t = aijf sjf t + nif t , or equivalently X f = Af S f + N f , (2) j=1 where X f = [xif t ]f ∈ CI×T , Af = [aijf ]f ∈ CI×J , S f = [sjf t ]f ∈ CJ×T , N f = [nif t ]f ∈ CI×T , and f = 1, . . , F is the index of a frequency bin. According to [3, 5, 6], the random variable sjf t can be modeled as crf t , sjf t = (3) r∈Rj 2 where crf t ∼ Nc (0, σrf t ) are the realizations of independent proper complex zero-mean Gaussian random variables, and Rj is the set of indices of latent 2 components for the j-th source.

5 Conclusion By precise estimation of the LPEs according to the evaluation of the degree of local reconstructibility, we showed that it is possible to recognize the most informative subset inside the speech signal, called the UPM. We successfully used UPM to reconstruct the whole speech signal, with enough naturality. 5 is achieved by a reconstruction from 12% of speech samples. t. the MMF, yet to be discovered in future studies. Acknowledgment. This work was funded by the INRIA CORDIS doctoral program.

I) can be expressed as: J L−1 x ˜i (t) = a ˜ijl s˜j (t − l) + n ˜ i (t), (1) j=1 l=0 where a ˜ijl represents the corresponding mixing filter coefficient, s˜j (t) is the j-th source signal (j = 1, . . , J), n ˜ i (t) is the additive noise, and L is the length of the mixing filter. In the TF domain, the model (1) can be expressed as: J xif t = aijf sjf t + nif t , or equivalently X f = Af S f + N f , (2) j=1 where X f = [xif t ]f ∈ CI×T , Af = [aijf ]f ∈ CI×J , S f = [sjf t ]f ∈ CJ×T , N f = [nif t ]f ∈ CI×T , and f = 1, .

Download PDF sample

Rated 4.80 of 5 – based on 15 votes