[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing 1991
DOI: 10.1109/icassp.1991.151066
|View full text |Cite
|
Sign up to set email alerts
|

A model for real-time sound synthesis of guitar on a floating-point signal processor

Abstract: Computational modeling of musical instruments is an alternative to commonly used and more straightforward sound synthesis techniques like FM synthesis and waveform sampling. New powerful signal processors make it possible to run such models in real time. This paper deals with algorithms that can be used to synthesize guitar sounds on a floating-point signal processor. A FIR type Lagrange interpolator is introduced to implement efficient and precise fractional delay approximation that is needed to achieve arbit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
12
0

Year Published

1991
1991
2018
2018

Publication Types

Select...
5
2
1

Relationship

3
5

Authors

Journals

citations
Cited by 23 publications
(12 citation statements)
references
References 2 publications
0
12
0
Order By: Relevance
“…14 shows that GA converges to a minimum magnitude error fitness value 8.3408 10 5 × − in 51 iteration cycles; Fig. 15 shows that PSO converges to a minimum magnitude error fitness value 1.5388 10 6 × − in 40 iteration cycles; whereas, Fig. 16 shows that proposed CSA converges to a minimum magnitude error fitness value 2.4512 10 7 × − in 25 iteration cycles.…”
Section: Percentage Improvement In Csa Compared With Ga and Psomentioning
confidence: 76%
See 1 more Smart Citation
“…14 shows that GA converges to a minimum magnitude error fitness value 8.3408 10 5 × − in 51 iteration cycles; Fig. 15 shows that PSO converges to a minimum magnitude error fitness value 1.5388 10 6 × − in 40 iteration cycles; whereas, Fig. 16 shows that proposed CSA converges to a minimum magnitude error fitness value 2.4512 10 7 × − in 25 iteration cycles.…”
Section: Percentage Improvement In Csa Compared With Ga and Psomentioning
confidence: 76%
“…Ever increasing demand of FD filters, in various applications, has revolutionized this field. These applications include time delay estimation [1], sampling rate conversion system [2], timing adjustments and interpolation in digital modems [3], speech coding and synthesis [4], modelling of the human vocal tract [5], modelling of musical instruments [6], comb filter design [7], and image interpolation [8]. Laakso et al presented an excellent tutorial on the design of fractional delay filter [9].…”
Section: Introductionmentioning
confidence: 99%
“…However, it still seems reasonable to approximate the output velocity signal at position as , since the deviation term is small compared to the nominal propagation speed . In the linear case, the input signal can be fed at a single point of the digital waveguide if acceleration waves are used [26], [27]. With the nonlinear model using slope variables, the input signal is a distribution that is inserted in the two delay lines.…”
Section: B Computation Of the Delay Parametermentioning
confidence: 99%
“…It was possible to implement a six string real-time synthesis model running on the TMS32OC30 signal processor (sampling frequency 22 IrHz). More details of this study are described in ref [5]. …”
mentioning
confidence: 99%