Digital Signal Processing of the Inharmonic Complex Tone

In this paper, a set of digital signal processing (DSP) procedures tailored for the analysis of complex musical tones with prominent inharmonicity is presented. These procedures are implemented within a MATLAB-based application and organized into three submodules. The application follows a structure...

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Main Authors: Tatjana Miljković, Jelena Ćertić, Miloš Bjelić, Dragana Šumarac Pavlović
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/15/8293
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author Tatjana Miljković
Jelena Ćertić
Miloš Bjelić
Dragana Šumarac Pavlović
author_facet Tatjana Miljković
Jelena Ćertić
Miloš Bjelić
Dragana Šumarac Pavlović
author_sort Tatjana Miljković
collection DOAJ
description In this paper, a set of digital signal processing (DSP) procedures tailored for the analysis of complex musical tones with prominent inharmonicity is presented. These procedures are implemented within a MATLAB-based application and organized into three submodules. The application follows a structured DSP chain: basic signal manipulation; spectral content analysis; estimation of the inharmonicity coefficient and the number of prominent partials; design of a dedicated filter bank; signal decomposition into subchannels; subchannel analysis and envelope extraction; and, finally, recombination of the subchannels into a wideband signal. Each stage in the chain is described in detail, and the overall process is demonstrated through representative examples. The concept and the accompanying application are initially intended for rapid post-processing of recorded signals, offering a tool for enhanced signal annotation. Additionally, the built-in features for subchannel manipulation and recombination enable the preparation of stimuli for perceptual listening tests. The procedures have been tested on a set of recorded tones from various string instruments, including those with pronounced inharmonicity, such as the piano, harp, and harpsichord.
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institution Kabale University
issn 2076-3417
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publishDate 2025-07-01
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series Applied Sciences
spelling doaj-art-7d023cf005914e53991df0870fab3e502025-08-20T03:36:31ZengMDPI AGApplied Sciences2076-34172025-07-011515829310.3390/app15158293Digital Signal Processing of the Inharmonic Complex ToneTatjana Miljković0Jelena Ćertić1Miloš Bjelić2Dragana Šumarac Pavlović3School of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaIn this paper, a set of digital signal processing (DSP) procedures tailored for the analysis of complex musical tones with prominent inharmonicity is presented. These procedures are implemented within a MATLAB-based application and organized into three submodules. The application follows a structured DSP chain: basic signal manipulation; spectral content analysis; estimation of the inharmonicity coefficient and the number of prominent partials; design of a dedicated filter bank; signal decomposition into subchannels; subchannel analysis and envelope extraction; and, finally, recombination of the subchannels into a wideband signal. Each stage in the chain is described in detail, and the overall process is demonstrated through representative examples. The concept and the accompanying application are initially intended for rapid post-processing of recorded signals, offering a tool for enhanced signal annotation. Additionally, the built-in features for subchannel manipulation and recombination enable the preparation of stimuli for perceptual listening tests. The procedures have been tested on a set of recorded tones from various string instruments, including those with pronounced inharmonicity, such as the piano, harp, and harpsichord.https://www.mdpi.com/2076-3417/15/15/8293complex music toneinharmonicitydigital filter bankenvelope extraction
spellingShingle Tatjana Miljković
Jelena Ćertić
Miloš Bjelić
Dragana Šumarac Pavlović
Digital Signal Processing of the Inharmonic Complex Tone
Applied Sciences
complex music tone
inharmonicity
digital filter bank
envelope extraction
title Digital Signal Processing of the Inharmonic Complex Tone
title_full Digital Signal Processing of the Inharmonic Complex Tone
title_fullStr Digital Signal Processing of the Inharmonic Complex Tone
title_full_unstemmed Digital Signal Processing of the Inharmonic Complex Tone
title_short Digital Signal Processing of the Inharmonic Complex Tone
title_sort digital signal processing of the inharmonic complex tone
topic complex music tone
inharmonicity
digital filter bank
envelope extraction
url https://www.mdpi.com/2076-3417/15/15/8293
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AT jelenacertic digitalsignalprocessingoftheinharmoniccomplextone
AT milosbjelic digitalsignalprocessingoftheinharmoniccomplextone
AT draganasumaracpavlovic digitalsignalprocessingoftheinharmoniccomplextone