태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
The gtzan8 audio dataset contains 1000 tracks of 30 second length. There are 10 genres, each containing 100 tracks which are all 22050Hz Mono 16-bit audio files in .wav format. The genres are: - blues - classical - country - disco - hiphop - jazz - metal - pop - reggae - rock
ASAP is a dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music. The scores are provided as paired MusicXML files and quantized MIDI files, and the performances as paired MIDI files and partially as audio recordings. Scores and performances are aligned with downbeat, beat, time signature, and key signature annotations. Source: ASAP: a dataset of aligned scores and performances for piano transcription
This data set includes beat and bar annotations of the ballroom dataset, introduced by Gouyon et al. [1]. [1] Gouyon F., A. Klapuri, S. Dixon, M. Alonso, G. Tzanetakis, C. Uhle, and P. Cano. An experimental comparison of audio tempo induction algorithms. Transactions on Audio, Speech and Language Processing 14(5), pp.1832-1844, 2006.
This dataset contains 200 famous songs in different genres (mostly in rock) and the beats and downbeat annotations are provided by T. de Clercq and D. Temperley [1]. [1] T. de Clercq and D. Temperley., “A corpus analysis of rock harmony,” Popular Music, vol. 30, no. 1, pp. 47– 70, 2011.
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