1993The Journal of the Acoustical Society of AmericaRequires access

Statistical study of spectral parameters in musical instrument tones

Shigeo Ando, Kiminori Yamaguchi

Open publisher page 22 citations

Abstract

Methods for short-time spectral analysis [improved over J. Acoust. Soc. Jpn. 33, 233–241 (1977)] and for extracting time-varying amplitude levels and frequencies of partials from musical instrument tones are described. The accuracy of the combined method is examined by applying the method to a synthetic tone having 32 harmonics. Statistical presentations used include histograms and graphs of average sound pressure level spectra, arithmetic mean sound pressure levels, and standard deviations of frequencies and amplitude levels, as well as autocorrelation and cross-correlation functions for various parameters. Seven tones produced by a violin, a flute, an oboe (with and without vibrato), and by a trumpet (nonvibrato) were analyzed. Characteristic features of the time-varying spectral parameters of each musical instrument tone were obtained. Applications of the results to the synthesis of musical instrument tones are considered. As a result, it is suggested that it will be possible to synthesize good synthetic musical instrument tones by realizing the statistical nature of the extracted spectral parameters.

About this research paper

What this paper is about

Methods for short-time spectral analysis [improved over J. Acoust. Soc. Jpn. 33, 233–241 (1977)] and for extracting time-varying amplitude levels and frequencies of partials from musical instrument tones are described. The accuracy of the combined method is examined by applying the method to a synthetic tone having 32 harmonics. Statistical presentations used include histograms and graphs of average sound pressure level spectra, arithmetic mean sound pressure levels, and standard deviations of frequencies and amplitude levels, as well as autocorrelation and cross-correlation functions for various parameters. Seven tones produced by a violin, a flute, an oboe (with and without vibrato), and by a trumpet (nonvibrato) were analyzed. Characteristic features of the time-varying spectral parameters of each musical instrument tone were obtained. Applications of the results to the synthesis of musical instrument tones are considered. As a result, it is suggested that it will be possible to synthesize good synthetic musical instrument tones by realizing the statistical nature of the extracted spectral parameters.

Why it matters

OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Methods for short-time spectral analysis [improved over J. Acoust. Soc. Jpn. 33, 233–241 (1977)] and for extracting time-varying amplitude levels and frequencies of partials from musical instrument tones are described. The accuracy of the combined method is examined by applying the method to a synthetic tone having 32 harmonics. Statistical presentations used include histograms and graphs of average sound pressure level spectra, arithmetic mean sound pressure levels, and standard deviations of frequencies and amplitude levels, as well as autocorrelation and cross-correlation functions for various parameters. Seven tones produced by a violin, a flute, an oboe (with and without vibrato), and by a trumpet (nonvibrato) were analyzed. Characteristic features of the time-varying spectral parameters of each musical instrument tone were obtained. Applications of the results to the synthesis of musical instrument tones are considered. As a result, it is suggested that it will be possible to synthesize good synthetic musical instrument tones by realizing the statistical nature of the extracted spectral parameters.

Key concepts: Vibrato, Musical tone, Violin, Acoustics, Timbre, Musical instrument, Tone (literature), Pitch (Music)

Related papers

Back to paper searchBrowse research topicsOriginal source
Statistical study of spectral parameters in musical instrument tones — Research Paper | ScholarLens