Skip to main content
zenodorestricted

Tap & Fiddle: a Dataset with Scandinavian Fiddle Tunes with Accompanying Foot-Tapping

<p>The&nbsp;<strong>Tap&nbsp;&amp;&nbsp;Fiddle</strong>&nbsp;consists&nbsp;of&nbsp;28&nbsp;stereo&nbsp;recordings&nbsp;of&nbsp;traditional&nbsp;Scandinavian&nbsp;fiddle&nbsp;tunes&nbsp;with accompanying foot-tapping, which is standard performance practice within these musical styles. Its corpora contains not only the mixed signals, but also the two isolated instrumental tracks that can be used as ground-truths&nbsp;for music source separation algorithms.</p> <ol> <li>The&nbsp;fiddle&nbsp;track&nbsp;(<em>harmonic track</em>);</li> <li>The&nbsp;foot-tapping&nbsp;track&nbsp;(<em>percussive track</em>).&nbsp;&nbsp;</li> </ol> <p>Foot-tapping is very often an integral part of the musical expression in Scandinavian fiddle music as a percussive accompaniment. For instance, some studies have shown that the dance beat of the music can even be unintelligible without the foot-tapping part&nbsp;[1]. Notwithstanding,&nbsp;foot-tapping&nbsp;in performance of fiddle music has not been systematically studied yet. Hence, apart from contributing to the music source separation community, we hope&nbsp;that the release of&nbsp;<strong>Tap &amp; Fiddle&nbsp;</strong>can also bring contributions to&nbsp;researchers and enthusiasts working with analysis of fiddle music as well as studies of metrical expression in music in general.</p> <p><strong>Audio&nbsp;and&nbsp;Repertoire&nbsp;Characteristics:</strong></p> <p>The set contains recordings of different dance types, including Norwegian Halling music, with straight single and double tapping as well as Swedish polska tunes, where tapping is considerably scarcer with tapping on beat 1 and 3 in 3-beat time being the most common way to tap.&nbsp;</p> <p>The sound of the foot-tapping ranges from more soft foot-tapping produced by a sock-covered foot, to sharp, distinct and loud foot-tapping produced by shoes with hard heels on parquet. In addition, the loudness of the foot-tapping regardless of sound source in relation to the fiddle is varied between and within recordings.</p> <p>It is also important to note that some of the recordings in the dataset are variations of the same Scandinavian fiddle tune. Those recordings are versions containing different acoustic conditions and audio characteristics for the foot-tapping and/or for the violin sound within the same tune.</p> <p><strong>Recording&nbsp;Methodology:&nbsp;</strong></p> <p>Each isolated signal was recorded by one fiddle player in a natural 30 m<sup>2&nbsp;</sup>room with separate miking for the foot and the fiddle (violin), using close-up Shure SM-58 microphones and a Focusrite sound card recorded in Audacity on a Macbook PRO. The mixture signals were created by adding the two isolated signals together. All the recordings have been made using the same instrument, which was played by the same performer.&nbsp;</p> <p>The audio files are uncompressed and saved as stereo <em>&quot;.wav&quot;&nbsp;</em>files with sampling frequency of 44100 Hz and 32 bits per sample. The average duration for a recording in&nbsp;<strong>Tap&nbsp;&amp;&nbsp;Fiddle</strong>&nbsp;is&nbsp;65&nbsp;seconds, totalising&nbsp;around&nbsp;65&nbsp;x&nbsp;28&nbsp;=&nbsp;30m&nbsp;20s of full play time.</p> <p>The dataset is divided into a training set with 23 recordings and a test set with 5. We recommend that supervised approaches should be trained on the training set and tested on the test set.</p> <p><strong>How&nbsp;to&nbsp;cite:</strong></p> <p>If&nbsp;you&nbsp;use&nbsp;this&nbsp;dataset,&nbsp;please,&nbsp;provide&nbsp;the&nbsp;following&nbsp;citation&nbsp;in&nbsp;your&nbsp;work:</p> <ul> <li>C.&nbsp;Lordelo, E. Benetos, S.&nbsp;Dixon, S.&nbsp;Ahlb&auml;ck and P.&nbsp;Ohlsson &quot;Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation&quot; in <em>IEEE&nbsp;Signal&nbsp;Processing&nbsp;Letters&nbsp;</em>2020 (under review&nbsp;at time of this writing)</li> </ul>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
0
Reuse readiness
0
Engagement
8

Topics