Abeßer, JakobJakobAbeßerBittner, FrancaFrancaBittnerRichter, MaikeMaikeRichterGonzalez Rodriguez, MarcelMarcelGonzalez RodriguezLukashevich, HannaHannaLukashevich2022-05-182024-04-152022-05-182021-12-21https://publica.fraunhofer.de/handle/publica/417679In this paper, we present the IDMT-PIANO-MM dataset, which allows to evaluate piano transcription algorithms under microphone mismatch conditions. In particular, we discuss specific constraints that these algorithms need to face when being used in music learning applications on mobile devices. Then, we describe the dataset w.r.t. recording locations and devices as well as the recorded music pieces. We intend this dataset to be a public benchmark to evaluate the robustness of AI-based MPE models within realistic microphone-mismatch conditions, which are to be expected with the large number of potential users of music learning applications.enAutomatic Music Analysisconference paper