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20112023
most citedAn Empirical Evaluation of Similarity Measures for Time Series Classification

237 citations · 1.1k across the 32 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.SD2021★ 1 cited

Upsampling layers for music source separation

Jordi Pons, Joan Serrà, Santiago Pascual +3

Upsampling artifacts are caused by problematic upsampling layers and due to spectral replicas that emerge while upsampling. Also, depending on the used upsampling layer, such artif…

physics.soc-ph2021★ 11 cited

Lognormals, Power Laws and Double Power Laws in the Distribution of Frequencies of Harmonic Codewords from Classical Music

Marc Serra-Peralta, Joan Serrà, Álvaro Corral

Zipf's law is a paradigm describing the importance of different elements in communication systems, especially in linguistics. Despite the complexity of the hierarchical structure o…

cs.SD2021

Assessing Algorithmic Biases for Musical Version Identification

Furkan Yesiler, Marius Miron, Joan Serrà +1

Version identification (VI) systems now offer accurate and scalable solutions for detecting different renditions of a musical composition, allowing the use of these systems in indu…

cs.SD2021

Audio-based Musical Version Identification: Elements and Challenges

Furkan Yesiler, Guillaume Doras, Rachel M. Bittner +2

In this article, we aim to provide a review of the key ideas and approaches proposed in 20 years of scientific literature around musical version identification (VI) research and co…

cs.SD2021

Adversarial Auto-Encoding for Packet Loss Concealment

Santiago Pascual, Joan Serrà, Jordi Pons

Communication technologies like voice over IP operate under constrained real-time conditions, with voice packets being subject to delays and losses from the network. In such cases,…

cs.SD2021★ 8 cited

Heaps' Law and Vocabulary Richness in the History of Classical Music Harmony

Marc Serra-Peralta, Joan Serrà, Álvaro Corral

Music is a fundamental human construct, and harmony provides the building blocks of musical language. Using the Kunstderfuge corpus of classical music, we analyze the historical ev…