Все публикации

Studying a Musical Repertoire with Computational Approaches: The Case of Carnatic Music

Design, Development, and Deployment of Real-Time Drum Accompaniment Systems

Embedded Machine Learning in Musical Instrument Design, by Chris Kiefer

David Toop and Sergi Jordà: open conversation on music and technology

Deep Audio Representation Learning for Music Using Weak Supervision

Violin Performance Analysis using Weak Supervision

High-Resolution Violin Transcription using Weak Labels

Sounds out of place? Score independent detection of conspicouous mistakes in piano performances.

TriAD: Capturing harmonics with 3D Convolutions

TapTamDrum: A Dataset for Dualized Drum Patterns

Efficient Supervised Training of Audio Transformers for Music Representation Learning

Leveraging pre-trained autoencoders for interpretable prototype learning of music audio

Critical art practices within Generative Music AI with Moisés Horta Valenzuela (𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰)

Cátedra IA y Música – Presentation

Interpretable Deep-learning Models for Sound Event Detection and Classification

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