Autocorrelation values are higher for poems that have been set to music than for poems that have not been set to music. This particularly holds for autocorrelations across stanzas. Error bars indicate the standard error of the mean.</p
We present a statistical analysis of music scores from different composers using detrended fluctuati...
In the article "Emotion Painting: Lyric, affect, and musical relationships in a large lead-sheet cor...
Abstract The auto-correlation pitch extraction algorithm based on candidate set is widely adopted du...
Overall, autocorrelations are higher for original than for modified poems, but differ depending on a...
Pitch-based autocorrelations were significantly correlated with melodiousness ratings.</p
Since antiquity, the concept of melody has been related not only to music, but also to language, spe...
A. Top: The digitized speech signal was annotated, using syllabic units (example poem: August von Pl...
<p>The horizontal coordinate indicates the time lag, , from 1 note to 50 notes, while the vertical c...
Pitch tracking is an important component of Automatic Mu-sic Transcription (AMT) systems and Query b...
<p>Plotted are the values of least-square means of each acoustic feature (A–F) from whole-motif meas...
Research on the music-language interface has extensively investigated similarities and differences o...
We tested the performance of autocorrelation-based meter induction with two large collections of fol...
The importance of pitch range variation for intonation theories is well-known, but whether pitch ran...
Research on the music-language interface has extensively investigated similarities and differences o...
<p>Error bars are <i>SE</i> of the Mean. Stars indicate significant differences (<i>a</i> = marginal...
We present a statistical analysis of music scores from different composers using detrended fluctuati...
In the article "Emotion Painting: Lyric, affect, and musical relationships in a large lead-sheet cor...
Abstract The auto-correlation pitch extraction algorithm based on candidate set is widely adopted du...
Overall, autocorrelations are higher for original than for modified poems, but differ depending on a...
Pitch-based autocorrelations were significantly correlated with melodiousness ratings.</p
Since antiquity, the concept of melody has been related not only to music, but also to language, spe...
A. Top: The digitized speech signal was annotated, using syllabic units (example poem: August von Pl...
<p>The horizontal coordinate indicates the time lag, , from 1 note to 50 notes, while the vertical c...
Pitch tracking is an important component of Automatic Mu-sic Transcription (AMT) systems and Query b...
<p>Plotted are the values of least-square means of each acoustic feature (A–F) from whole-motif meas...
Research on the music-language interface has extensively investigated similarities and differences o...
We tested the performance of autocorrelation-based meter induction with two large collections of fol...
The importance of pitch range variation for intonation theories is well-known, but whether pitch ran...
Research on the music-language interface has extensively investigated similarities and differences o...
<p>Error bars are <i>SE</i> of the Mean. Stars indicate significant differences (<i>a</i> = marginal...
We present a statistical analysis of music scores from different composers using detrended fluctuati...
In the article "Emotion Painting: Lyric, affect, and musical relationships in a large lead-sheet cor...
Abstract The auto-correlation pitch extraction algorithm based on candidate set is widely adopted du...