Все публикации

La IA y el ecosistema musical: desafíos, oportunidades y riesgos

Automatic Characterization and Generation of Music Loops and Samples for Electronic Music Production

Music Technology Group - Universitat Pompeu Fabra

Modeling Timbre for Neural Singing Synthesis

Exploration of Music Collections with Audio Embeddings

Real-time music auto-tagging in the browser with Essentia.js

PhD thesis of Minz Won

Data-driven Pitch Content Description of Choral Singing Recordings

Continuing CompMusic: New approaches in the computational analysis of Carnatic Music

Enhancing musicality: scientific, technological and practical challenges

Data-driven Musical Version Identification: Accuracy, Scalability, and Bias Perspectives

Audio Quality and Its Impact on Sound and Music Processing

Training Sound Event Classifiers Using Different Types of Supervision

Music Recommender Systems: Taking Into Account The Artists' Perspective

PhD thesis Ángel D. Blanco

Neural Networks for Singing Voice Extraction in Monaural Polyphonic Music Signals

Music Technology Group - Research Challenges

Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags

Investigating the efficacy of music version retrieval systems for setlist identification

Loopnet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters

Multimodal Metric Learning For Tag-Based Music Retrieval

Semi-supervised Learning for Singing Synthesis Timbre

Melon Playlist Dataset: A Public Dataset For Audio-Based Playlist Generation And Music Tagging

Unsupervised Contrastive Learning Of Sound Event Representations

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