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Miitla Measuring the Evolution of Contemporary Western Popular Music : Scientific Reports To identify structural patterns of musical discourse we first need to build a ‘vocabulary’ of musical elements (Fig. 1). To do so, we encode the dataset descriptions by a discretization of their values, yielding what we call music codewords20 (see Supplementary Information, SI). In the case of pitch, the descriptions of each song are additionally transposed to an equivalent main tonality, such that all of them are automatically considered within the same tonal context or key. Next, to quantify long-term variations of a vocabulary, we need to obtain samples of it at different periods of time. For that we perform a Monte Carlo sampling in a moving window fashion. The dataset contains the beat-based music descriptions of the audio rendition of a musical piece or score (G, Em, and D7 on the top of the staff denote chords). Full size image (297 KB) We first count the frequency of usage of pitch codewords (i.e. the number of times each codeword type appears in a sample). ).
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Dynamic Spectrograms of Music This page discusses, and has examples of, a kind of spectrogram video geared towards exploring music as it relates to fundamentals and overtones. I (Norm Spier), put the page together way back in about 2002. You may find the page useful, as it has a good number of click-on-and-play-videos of spiral spectrograms of music, including one full long piece. You may also find useful some of the various other music software I have written and updated recently (thru 2015), described in the box at right, which allow you to look at your own music in the equivalent of the videos on this page (and much more).--> For the purposes of looking at performed music, consider a spectral analysis (i.e., pitch breakdown) for a fixed time that looks like: On this type of spectrogram, when you go around clockwise 1/12 of a revolution, you go up a half-step. Here [.mov] <-(choose format)-> [.avi] is a 30 second a segment of recorded music (from Bach's Goldberg Variations) as such a dynamic spectrogram. NEW!