Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pons Puig, Jordi"'
Autor:
Geleta Geleta, Margarita, Puntí Álvarez, Cristina, McGuinness, Kevin, Pons Puig, Jordi, Canton Ferrer, Cristian, Giró Nieto, Xavier|||0000-0002-9935-5332
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Steganography comprises the mechanics of hiding data in a host media that may be publicly available. While previous works focused on unimodal setups (e.g., hiding images in images, or hiding audio in audio), PixInWav targets the multimodal case of hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ebeab5277446a6684d76044b78ef77
https://hdl.handle.net/2117/368576
https://hdl.handle.net/2117/368576
Autor:
Pons Puig, Jordi
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
TDR. Tesis Doctorales en Red
instname
Automatic music and audio tagging can help increase the retrieval and re-use possibilities of many audio databases that remain poorly labeled. In this dissertation, we tackle the task of music and audio tagging from the deep learning perspective and,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::a6bad53913ed5ed65fb2b3577fe500e6
http://hdl.handle.net/10803/668036
http://hdl.handle.net/10803/668036
Autor:
Fonseca, Eduardo, Plakal, Manoj, Font, Frederic, Ellis, Daniel P. W., Favory, Xavier, Pons Puig, Jordi, Serra, Xavier
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
This paper describes Task 2 of the DCASE 2018 Challenge, titled "General-purpose audio tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle platform as "Freesound General-Purpose Audio Tagging Challenge". The goal of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c83c8eae0b21878973e94630dc0b5b9
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
Comunicació presentada a la EUSIPCO 2017: 25th European Signal Processing Conference, celebrada els dies 28 d'agost a 2 de setembre de 2017 a Kos, Grècia. The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::40965ad281bd4235aaa425025eed4ebb
http://hdl.handle.net/10230/33998
http://hdl.handle.net/10230/33998
Autor:
Pons Albà, Aleu
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This project consists in analyzing the timbre blend of some representative most popular songs along last 60 years: Billboard Hot 100's first positions of all weeks of the analysed years. The study focus the attention in those years that made a revolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::38f2ab7a906ef78eb3bc135cea16cd5e
http://hdl.handle.net/2117/106473
http://hdl.handle.net/2117/106473