Philip Tovstogan

Philip Tovstogan

Universidad Pompeu Fabra

H-index: 5

Europe-Spain

About Philip Tovstogan

Philip Tovstogan, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universidad Pompeu Fabra, specializes in the field of Music Information Retrieval, Embeddings, Visualization, User-centric Evaluation.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Song Describer Dataset: A corpus of audio captions for music-and-language evaluation

Visualization of deep audio embeddings for music exploration and rediscovery

Similarity of nearest-neighbor query results in deep latent spaces

Song describer: a platform for collecting textual descriptions of music recordings

Exploration of music collections with audio embeddings

MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo.

kilobeat: low-level collaborative livecoding

Web interface for exploration of latent and tag spaces in music auto-tagging

Philip Tovstogan Information

University

Position

___

Citations(all)

208

Citations(since 2020)

204

Cited By

34

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Universidad Pompeu Fabra

Google Scholar

View Google Scholar Profile

Philip Tovstogan Skills & Research Interests

Music Information Retrieval

Embeddings

Visualization

User-centric Evaluation

Top articles of Philip Tovstogan

Title

Journal

Author(s)

Publication Date

The Song Describer Dataset: A corpus of audio captions for music-and-language evaluation

arXiv preprint arXiv:2311.10057

Ilaria Manco

Benno Weck

Seungheon Doh

Minz Won

Yixiao Zhang

...

2023/11/16

Visualization of deep audio embeddings for music exploration and rediscovery

Proceedings of the SMC 2022 Music technology and design; 2022 June 5-12; Saint-Étienne, France. Saint-Étienne: SMC; 2022.

Philip Tovstogan

Xavier Serra

Dmitry Bogdanov

2022

Similarity of nearest-neighbor query results in deep latent spaces

Proceedings of the SMC 2022 Music technology and design; 2022 June 5-12; Saint-Étienne, France. Saint-Étienne: SMC; 2022.

Philip Tovstogan

Xavier Serra

Dmitry Bogdanov

2022

Song describer: a platform for collecting textual descriptions of music recordings

Proceedings of the 23nd International Society for Music Information Retrieval Conference

Ilaria Manco

Benno Weck

Philip Tovstogan

Minz Won

Dmitry Bogdanov

2022/12/4

Exploration of music collections with audio embeddings

Philip Tovstogan

2022/7/27

MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo.

Philip Tovstogan

Dmitry Bogdanov

Alastair Porter

2021/12

kilobeat: low-level collaborative livecoding

IJ Clester

Luis X Joglar-Ongay

Xavier Serra

Frederic Font

Philip Tovstogan

...

2021

Web interface for exploration of latent and tag spaces in music auto-tagging

Proceedings of the 37 th International Conference on Machine Learning; 2020 Jul 13-18; Vienna, Austria.[Vienna]: ICML; 2020.[3 p.]

Philip Tovstogan

Xavier Serra

Dmitry Bogdanov

2020

See List of Professors in Philip Tovstogan University(Universidad Pompeu Fabra)

Co-Authors

H-index: 60
Xavier Serra

Xavier Serra

Universidad Pompeu Fabra

H-index: 21
Dmitry Bogdanov

Dmitry Bogdanov

Universidad Pompeu Fabra

H-index: 12
Minz Won

Minz Won

Universidad Pompeu Fabra

H-index: 12
Alastair Porter

Alastair Porter

Universidad Pompeu Fabra

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