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5 produkter
5 produkter
E-bok
PDF, Engelska, 201915 kr
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Scientific Study from the year 2019 in the subject Biology - Behaviour, grade: -, , language: English, abstract: The observation that Cattle which are spread over a wider area gather around a Saxophone player but totally ignore Crane calls gave the impetus for a detailed investigation of the "e;timbre"e; of both sounds as a possible explanation for the observed effect. Frequency- and Formant-spectra of four different sounds have been analysed: Cattle-calls (cowing), Kulning (an ancient herding call of Swedish women), Crane-calls and Saxophone play (by a professional player). Kulning-calls and the Saxophone-sound exhibit Formant-spectra with several Formant-bands of high intensity in the range of 1.000-9.000Hz which are nearly completely missing in Formant-spectra of Crane calls. Therefore, it is concluded that this richness of sound (=timbre) of Saxophone and Kulning generate the "e;attraction"e; of these sounds for Cattle whereas Crane-calls which miss this Formant-signals nearly completely cannot gain the interest of Cattle.
E-bok
PDF, Tyska, 202015 kr
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Wissenschaftliche Studie aus dem Jahr 2020 im Fachbereich Physik - Akustik, , Sprache: Deutsch, Abstract: Stellen Sie sich vor, Sie könnten den einzigartigen Klang eines legendären Tenorsaxophonisten sezieren, seine geheimnisvolle Essenz in einer präzisen grafischen Darstellung erfassen. Diese bahnbrechende Studie wagt genau das: Sie enthüllt eine innovative Methode zur Analyse und zum Vergleich der individuellen Soundspektren professioneller Saxophonspieler. Mithilfe logarithmischer Trendanalysen von frequenzabhängigen Intensitätsspektren und LTA-Spektren entschlüsselt dieses Werk den Einfluss von Obertönen, Formanten und sogar des subtilen Spielerrauschens auf den charakteristischen "Zielsound". Entdecken Sie, wie der "Log-Faktor" im Frequenzbereich von 0 bis 3000 Hz als entscheidender Parameter für die Klangfarbe fungiert und den Vergleich verschiedener Spielweisen ermöglicht. Erfahren Sie, wie sich Equipment-Änderungen, beispielsweise der Wechsel des Saxophons (Selmer Balanced Action vs. RS-Berkley Virtuoso), auf das Soundspektrum auswirken und welche Rolle die verwendete Aufnahmetechnik und Software (Praat, Excel) spielen. Diese tiefgreifende Analyse geht über bloße Frequenzmessungen hinaus; sie dringt in die subjektive Wahrnehmung von Klang ein und bietet Musikern, Akustikern und Sounddesignern gleichermaßen wertvolle Einblicke. Obwohl die Studie Einschränkungen hinsichtlich der Erfassung dynamischer Effekte wie Lautstärkeveränderungen oder Bending aufweist, liefert sie einen wesentlichen Beitrag zur objektiven Beurteilung und zum Verständnis des komplexen Phänomens "Sound". Die Ergebnisse eröffnen neue Perspektiven für die Klangforschung und legen den Grundstein für die Anwendung dieser Methode auf andere Blasinstrumente, um die Geheimnisse ihres individuellen Klangcharakters zu lüften. Tauchen Sie ein in die Welt der Schallwellenanalyse und entdecken Sie die verborgenen Dimensionen des Tenorsaxophonsounds, aufgeschlüsselt durch akribische Forschung und innovative Analyseverfahren. Ein Muss für jeden, der sich für Musikakustik, Instrumentenbau oder die feinen Nuancen individueller Klanggestaltung interessiert.
E-bok
PDF, Engelska, 202119 kr
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Scientific Study from the year 2021 in the subject Musicology - Systematic musicology, grade: NA, , language: English, abstract: In this paper an idea is presented which offers musicians, composers and students 1) a method to analyze the harmonic relatedness between different chords of a given cadence and 2) an opportunity to use this information to create/compose meaningful cadences. For this purpose a mathematical model is introduced where given cadences or chord progressions of a short music piece are the input. The output of the model are calculated values for the harmonic relatedness (= HR) of the chords in the cadence. Two additional parameters derived from the mathematical model - DM (= disharmonic movement) and HarmoT (= harmonic tension) - are demonstrated to be very useful for analyzing given cadences of short music pieces. Using three examples of different musical types (Pop/Beatles, Classic/Gibbons; Jazz/Coltrane) it is shown that these two parameters give new and additional insights in the harmonic concept of short music pieces compared to well know and established analysis-procedures. Details of the mathematical model as well as aspects of different calibration options of the model are presented and discussed. Further ideas are proposed how the mathematical model may help musicians and composers in their task or process of improvising or creating music. Although the introduced mathematical model has limitations (which are discussed in this paper as well) it might offer an additional and easy to use tool for anyone who works on meaningful chord progressions and harmonic concepts of short music pieces.
E-bok
PDF, Engelska, 202215 kr
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Scientific Study from the year 2022 in the subject Physics - Acoustics, grade: nicht anwendbar, , language: English, abstract: A new model is proposed which offers the opportunity to describe and characterize the sound of a musician playing a monophonic instrument in such a way that audible differences can be expressed by two main parameters: 1) "e;virtual power spectrum"e; and 2) "e;Resonance & Radiation"e; spectrum of the analyzed sound. The "e;virtual power spectrum"e; can be calculated by using data of a Fast Fourier transformation (FFT) -analysis of the recorded sound for a mathematical trend analysis delivering a logarithmic function. For each pitch played with different intensities, a "e;virtual power spectrum"e; and the related logarithmic function can be calculated and can function as a parameter to describe certain characteristics of the sound. The "e;Resonance & Radiation"e; spectrum can be calculated by comparing the dB-values of the Harmonics of a sound (determined through FFT-analysis) with the calculated "e;virtual power spectrum"e;. The "e;Resonance & Radiation"e; spectrum is independent of a) the pitch played and b) the playing intensity, and is therefore a further parameter characterizing the sound of a playing system (musician & instrument). The model is valid for several monophonic wind instruments as well as for the Cello. Further research may show whether this model can be used for other monophonic instruments as well.
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Scientific Study from the year 2022 in the subject Physics - Acoustics, grade: NA, , language: English, abstract: So called Multiphonic sounds of string instruments (cello, violin, piano) and wind instruments (trombone, flute, oboe, clarinet, saxophone) have been analyzed and their power spectra (Fast Fourier transformation of sound files) have been compared. The power spectra of Multiphonic sounds of wind instruments exhibit a structure with a) Harmonics of the two tones (=pitches) T1 and T2 with different basic frequencies (Hz) and b) Complex tones with frequencies defined according to the formula: "e;m*T1+n*T2 (m, n are integer numbers ; m*T1 and n*T2 represent frequencies "e;f1"e; and "e;f2"e; in Hz of the respective Harmonics of T1 and T2). Power spectra of so called Multiphonic sounds of string instruments do not contain Complex tones, but Harmonics of only one basic frequency. In contrast to a regular monophonic sound, the first Harmonics of this so called Multiphonic sounds are massively damped so that the listener cannot identify the basic pitch, but will recognize several higher Harmonics sounding in parallel. This mimics a Multiphonic sound although it is a monophonic sound. It is proposed to name such sounds: "e;multiphonic sounding Harmonics"e; in contrast to real Multiphonic sounds generated by wind instruments containing Complex tones. The detailed analysis of the intensities of the Harmonics as well as the frequencies and intensities of the Complex tones of Multiphonic sounds leads to the conclusion that a pair of Complex tones with frequencies "e;f1+f2"e; and "e;f2-f1"e; is a result of an interaction between one Harmonic of each basic pitch T1 and T2 with respective frequencies f1 and f2. Based on this conclusion, a mathematical model is established which proposes the mechanism of a specific coupling of two standing waves within a wind instrument as the basic process to generate the Complex tones. A simulation of a real Multiphonic sound of a wind instrument using the mathematical model results in an acceptable correlation (R2 = 0.5) of the simulated and the real intensities of the Complex tones.