most citedA Deep Multimodal Approach for Cold-start Music Recommendation

80 citations · 195 across the 10 of their papers we have counts for

collaborators

11 papers

cs.SD20196 cited

Data Augmentation for Instrument Classification Robust to Audio Effects

António Ramires, Xavier Serra

Reusing recorded sounds (sampling) is a key component in Electronic Music Production (EMP), which has been present since its early days and is at the core of genres like hip-hop or…

cs.SD201935 cited

Toward Interpretable Music Tagging with Self-Attention

Minz Won, Sanghyuk Chun, Xavier Serra

Self-attention is an attention mechanism that learns a representation by relating different positions in the sequence. The transformer, which is a sequence model solely based on se…

cs.SD2019

Multi Web Audio Sequencer: Collaborative Music Making

Xavier Favory, Xavier Serra

Recent advancements in web-based audio systems have enabled sufficiently accurate timing control and real-time sound processing capabilities. Numerous specialized music tools, as w…

cs.IR20173 cited

Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training

Rong Gong, Xavier Serra

Music Information Retrieval (MIR) technologies have been proven useful in assisting western classical singing training. Jingju (also known as Beijing or Peking opera) singing is di…

cs.SD20171 cited

Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research

Rong Gong, Rafael Caro Repetto, Xavier Serra

The data-driven computational research on automatic jingju (also known as Beijing or Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing audio da…

cs.IR201780 cited

A Deep Multimodal Approach for Cold-start Music Recommendation

Sergio Oramas, Oriol Nieto, Mohamed Sordo +1

An increasing amount of digital music is being published daily. Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists…