11 citations · 17 across the 4 of their papers we have counts for
4 papers
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings
Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch
Song embeddings are a key component of most music recommendation engines. In this work, we study the hyper-parameter optimization of behavioral song embeddings based on Word2Vec on…
Lyric document embeddings for music tagging
Matt McVicar, Bruno Di Giorgi, Baris Dundar +1
We present an empirical study on embedding the lyrics of a song into a fixed-dimensional feature for the purpose of music tagging. Five methods of computing token-level and four me…
Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks
Bruno Di Giorgi, Matthias Mauch, Mark Levy
The human ability to track musical downbeats is robust to changes in tempo, and it extends to tempi never previously encountered. We propose a deterministic time-warping operation…
Sequential Complexity as a Descriptor for Musical Similarity
Peter Foster, Matthias Mauch, Simon Dixon
We propose string compressibility as a descriptor of temporal structure in audio, for the purpose of determining musical similarity. Our descriptors are based on computing track-wi…