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This work present a music dataset named MusicTM-Dataset, which is utilized inimproving the representation learning ability of different types of cross-modalretrieval (CMR). Little large music dataset including three modalities isavailable for learning representations for CMR. To collect a music dataset, weexpand the original musical notation to synthesize audio and generatedsheet-music image, and build musical notation based sheet-music image, audioclip and syllable-denotation text as fine-grained alignment, such that theMusicTM-Dataset can be exploited to receive shared representation formultimodal data points. The MusicTM-Dataset presents 3 kinds of modalities,which consists of the image of sheet-music, the text of lyrics and synthesizedaudio, their representations are extracted by some advanced models. In thispaper, we introduce the background of music dataset and express the process ofour data collection. Based on our dataset, we achieve some basic methods forCMR tasks. The MusicTM-Dataset are accessible in https://github.com/dddzeng/MusicTM-Dataset.

MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio