#statisticalanalyses โ Public Fediverse posts
Live and recent posts from across the Fediverse tagged #statisticalanalyses, aggregated by home.social.
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A corpus analysis of rock harmony
The researchers in this study conducted a corpus analysis of rock harmony by using Rolling Stone magazine's list of the '500 Greatest Songs of All Time'. The corpus consisted of 100 songs, which were chosen by taking the top 20 ranked songs from each decade from the 1950s to the 1990s. The authors personally analyzed all 100 songs using conventional Roman numeral symbols, and their agreement between the two sets of analyzes was over 90%. The analyses were then encoded using a recursive notation similar to a context-free grammar, allowing for concise encoding of repeating sections. Statistical analyses were then conducted on the aggregate data, examining the frequency of different chords and chord transitions, root motions, patterns of co-occurrence between chords, and changes in harmonic practices over time. The results indicated that the IV chord is the most common chord after the I chord, and is particularly common preceding the tonic.
https://www.jstor.org/stable/23325809
#corpusanalysis #rock #harmony #RollingStone #500GreatestSongs #RomanNumeral #contextfreegrammar #statisticalanalyses #chords #transitions #rootmotions #harmonicpractices #time #music #analysis #musicology
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A corpus analysis of rock harmony
The researchers in this study conducted a corpus analysis of rock harmony by using Rolling Stone magazine's list of the '500 Greatest Songs of All Time'. The corpus consisted of 100 songs, which were chosen by taking the top 20 ranked songs from each decade from the 1950s to the 1990s. The authors personally analyzed all 100 songs using conventional Roman numeral symbols, and their agreement between the two sets of analyzes was over 90%. The analyses were then encoded using a recursive notation similar to a context-free grammar, allowing for concise encoding of repeating sections. Statistical analyses were then conducted on the aggregate data, examining the frequency of different chords and chord transitions, root motions, patterns of co-occurrence between chords, and changes in harmonic practices over time. The results indicated that the IV chord is the most common chord after the I chord, and is particularly common preceding the tonic.
https://www.jstor.org/stable/23325809
#corpusanalysis #rock #harmony #RollingStone #500GreatestSongs #RomanNumeral #contextfreegrammar #statisticalanalyses #chords #transitions #rootmotions #harmonicpractices #time #music #analysis #musicology
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A corpus analysis of rock harmony
The researchers in this study conducted a corpus analysis of rock harmony by using Rolling Stone magazine's list of the '500 Greatest Songs of All Time'. The corpus consisted of 100 songs, which were chosen by taking the top 20 ranked songs from each decade from the 1950s to the 1990s. The authors personally analyzed all 100 songs using conventional Roman numeral symbols, and their agreement between the two sets of analyzes was over 90%. The analyses were then encoded using a recursive notation similar to a context-free grammar, allowing for concise encoding of repeating sections. Statistical analyses were then conducted on the aggregate data, examining the frequency of different chords and chord transitions, root motions, patterns of co-occurrence between chords, and changes in harmonic practices over time. The results indicated that the IV chord is the most common chord after the I chord, and is particularly common preceding the tonic.
https://www.jstor.org/stable/23325809
#corpusanalysis #rock #harmony #RollingStone #500GreatestSongs #RomanNumeral #contextfreegrammar #statisticalanalyses #chords #transitions #rootmotions #harmonicpractices #time #music #analysis #musicology
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A corpus analysis of rock harmony
The researchers in this study conducted a corpus analysis of rock harmony by using Rolling Stone magazine's list of the '500 Greatest Songs of All Time'. The corpus consisted of 100 songs, which were chosen by taking the top 20 ranked songs from each decade from the 1950s to the 1990s. The authors personally analyzed all 100 songs using conventional Roman numeral symbols, and their agreement between the two sets of analyzes was over 90%. The analyses were then encoded using a recursive notation similar to a context-free grammar, allowing for concise encoding of repeating sections. Statistical analyses were then conducted on the aggregate data, examining the frequency of different chords and chord transitions, root motions, patterns of co-occurrence between chords, and changes in harmonic practices over time. The results indicated that the IV chord is the most common chord after the I chord, and is particularly common preceding the tonic.
https://www.jstor.org/stable/23325809
#corpusanalysis #rock #harmony #RollingStone #500GreatestSongs #RomanNumeral #contextfreegrammar #statisticalanalyses #chords #transitions #rootmotions #harmonicpractices #time #music #analysis #musicology