DocumentCode :
3401505
Title :
Estimating sinusoidal parameters of musical tones based on global waveform fitting
Author :
Ding, Yinong ; Qian, Xiaoshu
Author_Institution :
DSP R&D Center, Texas Instrum. Inc., Dallas, TX, USA
fYear :
1997
fDate :
23-25 Jun 1997
Firstpage :
95
Lastpage :
100
Abstract :
A novel approach to the analysis of musical tones using a quadratic polynomial phase sinusoids plus residual data model is presented. Taking advantage of the fact that musical signals are usually analyzed off-line, the proposed approach estimates the sinusoidal parameters of a musical tone such that its waveform fits the data model in a least square sense, and has obvious advantages over the existing sinusoidal model-based music analysis/synthesis algorithms in terms of data reduction and computational complexity. Sound examples are included to demonstrate the effectiveness of the proposed approach
Keywords :
computational complexity; data reduction; electronic music; multimedia computing; music; computational complexity; data reduction; global waveform fitting; musical tones; quadratic polynomial phase sinusoids; residual data model; sinusoidal parameters; waveform fitting; Algorithm design and analysis; Data models; Filters; Interpolation; Parameter estimation; Polynomials; Signal analysis; Signal processing algorithms; Signal synthesis; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
Type :
conf
DOI :
10.1109/MMSP.1997.602619
Filename :
602619
Link To Document :
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