tailieunhanh - Báo cáo hóa học: " Research Article High-Quality Time Stretch and Pitch Shift Effects for Speech and Audio Using the Instantaneous Harmonic Analysis"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article High-Quality Time Stretch and Pitch Shift Effects for Speech and Audio Using the Instantaneous Harmonic Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 712749 10 pages doi 2010 712749 Research Article High-Quality Time Stretch and Pitch Shift Effects for Speech and Audio Using the Instantaneous Harmonic Analysis Elias Azarov 1 Alexander Petrovsky EURASIP Member 1 2 and Marek Parfieniuk EURASIP Member 2 department of Computer Engineering Belarussian State University of Informatics and Radioelectronics 220050 Minsk Belarus 2 Department of Real-Time Systems 15-351 Bialystok University of Technology Bialystok Poland Correspondence should be addressed to Alexander Petrovsky palex@ Received 6 May 2010 Accepted 10 November 2010 Academic Editor Udo Zoelzer Copyright 2010 Elias Azarov et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The paper presents methods for instantaneous harmonic analysis with application to high-quality pitch timbre and time-scale modifications. The analysis technique is based on narrow-band filtering using special analysis filters with frequency-modulated impulse response. The main advantages of the technique are high accuracy of harmonic parameters estimation and adequate harmonic noise separation that allow implementing audio and speech effects with low level of audible artifacts. Time stretch and pitch shift effects are considered as primary application in the paper. 1. Introduction Parametric representation of audio and speech signals has become integral part of modern effect technologies. The choice of an appropriate parametric model significantly defines overall quality of implemented effects. The present paper describes an approach to parametric signal processing based on deterministic stochastic decomposition. The signal is considered as a sum of periodic harmonic and residual noise parts. The periodic part