96 research outputs found

    ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription

    Get PDF
    We create the ACPAS dataset with aligned audio and scores on classical piano music for automatic music audio-to-score transcription research. The dataset contains 497 distinct music scores aligned with 2189 audio performances, 179.8 hours in total. To our knowledge, it is currently the largest dataset for audio-to-score transcription research. We provide aligned performance audio, performance MIDI and MIDI scores, together with beat, key signature, and time signature annotations. The dataset is partly collected from a list of existing automatic music transcription (AMT) datasets, and partly synthesized. Both real recordings and synthetic recordings are included. We provide a train/validation/test split with no piece overlap and in line with splits in other AMT datasets

    Symbolic music generation conditioned on continuous-valued emotions

    Get PDF
    In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioning a state-of-the-art transformer based on continuous-valued valence and arousal labels. In addition, we provide a new large-scale dataset of symbolic music paired with emotion labels in terms of valence and arousal. We evaluate our approach in a quantitative manner in two ways, first by measuring its note prediction accuracy, and second via a regression task in the valence-arousal plane. Our results demonstrate that our proposed approaches outperform conditioning using control tokens which is representative of the current state of the art.‘la Caixa’’ Foundation under Grant 100010434 and Grant LCF/BQ/DI19/1173003 - FCT—Foundation for Science and Technology, I.P., through the Project MERGE through the National Funds (PIDDAC) through the Portuguese State Budget under Grant PTDC/CCI-COM/3171/2021 - European Social Fund through the Regional Operational Program Centro 2020 Project CISUC under Grant UID/CEC/00326/2020info:eu-repo/semantics/publishedVersio
    • …
    corecore