By John Kane, Christer Gobl (auth.), Thomas Drugman, Thierry Dutoit (eds.)
This e-book constitutes the lawsuits of the sixth foreign convention on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers integrated during this quantity have been conscientiously reviewed and chosen from 34 submissions. The paper are equipped in topical sections on speech and audio research; speech synthesis; speech-based biomedical functions; computerized speech attractiveness; and speech enhancement.
Read or Download Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings PDF
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Extra info for Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings
373–383. Springer (1983) 2. : A spectral Matching Method for Pitch Estimation from Noise-corrupted Speech. In: IEEE International Midwest Symposium on Circuits and Systems, pp. 1413–1416. IEEE Press, Taiwan (2009) 3. : A SAFE: A Statistical Approach to F0 Estimation Under Clean and Noisy Conditions. IEEE Trans. Audio, Speech and Language Process. 20, 933–944 (2012) 4. : Application of the Wavelet Transform for Pitch Detection of Speech Signals. IEEE Trans. Information Theory 38, 917–924 (1992) An Efficient Method for Fundamental Frequency Determination of Noisy Speech 41 5.
In a first order approach the system is considered loss-less, and time variations are handled by means of adaptive algorithms which may cope with changes in the cross-section profile. Gender Detection in Running Speech from Glottal and Vocal Tract Correlates 27 Fig. 1. Fant’s source-filter model of speech production: the excitation signal e(n) may be produced by phonation (voicing) or by turbulent excitation (voiceless). The articulation organs (pharynx, vocal/nasal tracts) have a specific behavior in the frequency domain given as a set of resonances and anti-resonances (mid-bottom) which produce a pre-radiated speech signal sa(n).
Albayzin Speech Database: Design of the Phonetic Corpus. In: Proc. Eurospeech 1993, vol. 1, pp. 653–656 (1993) 11. : Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Trans. tn Abstract. In this paper, we present a fundamental frequency determination method dependent on the autocorrelation compression of the multi-scale product of speech signal. It is based on the multiplication of compressed copies of the original autocorrelation operated on the multi-scale product.