By John Kane, Christer Gobl (auth.), Thomas Drugman, Thierry Dutoit (eds.)
This ebook constitutes the court cases of the sixth overseas convention on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers incorporated during this quantity have been rigorously reviewed and chosen from 34 submissions. The paper are prepared in topical sections on speech and audio research; speech synthesis; speech-based biomedical purposes; automated speech attractiveness; and speech enhancement.
Read Online or Download Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings PDF
Best international books
This paintings bargains with the query of illegal territorial occasions, i. e. territorial regimes which are confirmed and maintained in defiance of foreign legislations. It represents a truly well timed contribution to the talk about the nature, the goals and objective of overseas interventions within the affairs of sovereign international locations.
The Instituts Internationaux de body et de Chimie fondis par E. Solvay and the Institute of Nonequilibrium structures of Beijing basic collage together backed a convention on "The Complexity and Self-organization in Socio monetary structures" on October 17-20, 1994 at Beijing, China. the aim of the convention was once to discover the complexity and evolutionary legislation of socio fiscal platforms via nonlinear dynamic structures and self-organization idea.
Additional resources for Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings
The last stage consists of generating the functions obtained by the Autocorrelation compression and then multiplying them to provide a signal with a reinforced peak allowing an efficient estimation of the fundamental frequency value. The product p ( n ) of wavelet transforms coefficients of the function f ( n ) at some successive dyadic scales is given as follows: j = jL p ( n ) = ∏ W2 j f ( n ) . (1) j = j0 Where W2 j f ( n ) is the wavelet transform of the function f at scale 2 j . For the second stage, the product p ( n ) is split into frames of N length by multiplication with a hanning window w [ n] : pw [ n, i ] = p [ n] w [ n − iΔn ] .
Elect. , USA (2007) 9. : Using Multi-scale Product Spectrum for Single and Multi-pitch Estimation. IET Signal Process. Journal 5, 344–355 (2011) 10. : Assessment for Automatic Speech Recognition: II. Noisex-92: A Database and an Experiment to Study the Effect of Additive Noise on Speech Recognition Systems. Speech Communication 12, 247–251 (1993) 11. : Pitch Estimation Using Models of Voiced Speech on Three Levels. In: 4th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, pp.
Fig. 8. ACMP of a voiced noisy speech. a) Autocorrelation compression of MP with c=1. b) Autocorrelation compression of MP with c=2. c) Autocorrelation compression of MP with c=3. d) Autocorrelation functions multiplication. 1 Evaluation Databases To evaluate the performance of our algorithm, we use the Keele pitch reference database . The Keele database contains ten speakers sampling frequency of 20 kHz. 6 ms segments with 10 ms overlapping. The reference pitch estimation is based on a simultaneously recorded signal of a laryngograph.
Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings by John Kane, Christer Gobl (auth.), Thomas Drugman, Thierry Dutoit (eds.)