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pro vyhledávání: '"Janer, Jordi"'
Autor:
Narang, Jyoti, De La Vega, Viviana, Lizarraga, Xavier, Mayor, Oscar, Parra, Hector, Janer, Jordi, Serra, Xavier
Choral singing, a widely practiced form of ensemble singing, lacks comprehensive datasets in the realm of Music Information Retrieval (MIR) research, due to challenges arising from the requirement to curate multitrack recordings. To address this, we
Externí odkaz:
http://arxiv.org/abs/2311.08350
Applying changes to an input speech signal to change the perceived speaker of speech to a target while maintaining the content of the input is a challenging but interesting task known as Voice conversion (VC). Over the last few years, this task has g
Externí odkaz:
http://arxiv.org/abs/2212.13581
Akademický článek
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Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2017, p55-62, 8p
Autor:
Janer, Jordi
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
TDR. Tesis Doctorales en Red
instname
Els instruments musicals digitals es descomponen usualment en dues parts: la interfície d'usuari i el motor de síntesi. Tradicionalment la interfície d'usuari pren el nom de controlador musical. L'objectiu d'aquesta tesi és el disseny d'un interf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cc6bb84670a64fa3d0ce95d1816660c
http://hdl.handle.net/10803/7550
http://hdl.handle.net/10803/7550
Autor:
Janer, Jordi
In this paper we present an example of the use of the singingvoice as a controller for digital music synthesis. The analysis of the voice with spectral processing techniques, derivedfrom the Short-Time Fourier Transform, provides ways ofdetermining a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5be53b728464123e5258e54198c30e49
Publikováno v:
Journal of Electrical & Computer Engineering; 12/5/2016, p1-19, 19p
Autor:
Janer, Jordi
The aim of this document is to explore the singing voice as a valid musical controller for real-time synthesis. We address the identification and extraction of the voice features, and the mapping of those features to a synthesis engine. Since the adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd1de5d11623105c0b47d69be1be53b9