3 citations · 3 across the 4 of their papers we have counts for
4 papers
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation
Alejandro Delgado, Charalampos Saitis, Emmanouil Benetos +1
Imitating musical instruments with the human voice is an efficient way of communicating ideas between music producers, from sketching melody lines to clarifying desired sonorities.…
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Alejandro Delgado, Emir Demirel, Vinod Subramanian +2
Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch…
Learning Models for Query by Vocal Percussion: A Comparative Study
Alejandro Delgado, SkoT McDonald, Ning Xu +2
The imitation of percussive sounds via the human voice is a natural and effective tool for communicating rhythmic ideas on the fly. Thus, the automatic retrieval of drum sounds usi…
A New Dataset for Amateur Vocal Percussion Analysis
Alejandro Delgado, SKoT McDonald, Ning Xu +1
The imitation of percussive instruments via the human voice is a natural way for us to communicate rhythmic ideas and, for this reason, it attracts the interest of music makers. Sp…