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• musicnn: Pre-trained convolutional neural networks for music audio tagging
  2019 · 41 citations
• Toward Interpretable Music Tagging with Self-Attention
  2019 · 35 citations
• Semi-Supervised Music Tagging Transformer
  2021 · 13 citations
• COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
  2020 · 9 citations
• Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks
  2017 · 8 citations
• Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio
  2017 · 2 citations
• TIV.lib: an open-source library for the tonal description of musical audio
  2020 · 2 citations
• End-to-end music source separation: is it possible in the waveform domain?
  2018 · 1 citations
• Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
  2022 · 1 citations
• An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes
  2023 · 1 citations
• Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music Mixtures
  2025
• Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
  2020
• Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio
  2024