MAST rhythm dataset

<p>The MASTrhythm dataset is a collection of 3721 audio files cropped from recordings of conservatory entrance examinations in Turkey (summer 2015 and summer 2016).&nbsp;(see the previous version with audio data here: <a href="https://zenodo.org/record/2620357#.Y1ZOVXVBwW0">https://zenodo.org/record/2620357#.Y1ZOVXVBwW0</a> ) This version of the dataset includes new annotation files.&nbsp;</p> <p><strong>4 level&nbsp;grades re-collected by blind-random-listening</strong>: A new set of grades were collected using an annotation tool that randomly plays audio recordings and ask the annotator to pick a grade from the set of grades: 1-Completely Off, 2-Major Mistakes, 3-Minor Mistakes, and 4-Perfect. The assessments were done by three individuals who specialized in music or have a musical background; the first annotator is a professor of musicology who has taken part as a jury member in many entrance exam auditions, the second and third annotator are music conservatory students of graduate-level programs. A rubric was explicitly defined and used for grading: If only one or two notes were wrong (missing, added, or played in a different rhythmic position), while the rhythmic accents were executed perfectly and without any delay or hurry, this type of error is considered as a &quot;3-minor mistake&quot;; If two-three notes were wrong, and were belonging to any form of hesitation with poorly executed accents, such performances were graded as a &quot;2-major mistake&quot;. Any performance with more than three wrong strokes/durations was considered &quot;1-completely off&quot;. The 4-level grades are shared in the format of text files: annotator#.txt</p> <p><strong>Naming convention:</strong></p> <p>The dataset is composed of audio files. All other information is coded in the file names: &#39;ref&#39;: reference recording, &#39;per&#39;: performance recording, &#39;fail&#39;: performance graded as &#39;fail&#39;, &#39;pass&#39;: performance graded as &#39;pass&#39;</p> <p>There exists 40 distinct rhythmic patterns. The ID for the melody makes up the first part of the file name. Examples:</p> <p>&#39;51_rhy1_per101559_fail.m4a&#39;: Rhythmic pattern ID: &#39;51_rhy1&#39;, this is a candidate performance recording (candidate ID: 101559) graded as fail</p> <p>&#39;55_rhy2_ref280758.m4a&#39;: Rhythmic pattern ID: &#39;55_rhy2&#39;, this is a reference recording (performed by a jury member) for candidate with ID: 280758.</p> <p><strong>Acknowledgement:</strong></p> <p>This new version of the dataset has been curated within the TUBITAK (The Scientific and Technological Research Council of Turkey) funded research project 1001-121E198 targeting development of automatic assessment tools for music performances.</p>