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Jordi Pons
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2020 – today
- 2024
- [c31]Jordi Pons, Xiaoyu Liu, Santiago Pascual, Joan Serrà:
GASS: Generalizing Audio Source Separation with Large-Scale Data. ICASSP 2024: 546-550 - [c30]Zach Evans, CJ Carr, Josiah Taylor, Scott H. Hawley, Jordi Pons:
Fast Timing-Conditioned Latent Audio Diffusion. ICML 2024 - [i34]Zach Evans, CJ Carr, Josiah Taylor, Scott H. Hawley, Jordi Pons:
Fast Timing-Conditioned Latent Audio Diffusion. CoRR abs/2402.04825 (2024) - [i33]Zach Evans, Julian D. Parker, CJ Carr, Zack Zukowski, Josiah Taylor, Jordi Pons:
Long-form music generation with latent diffusion. CoRR abs/2404.10301 (2024) - [i32]Zach Evans, Julian D. Parker, CJ Carr, Zack Zukowski, Josiah Taylor, Jordi Pons:
Stable Audio Open. CoRR abs/2407.14358 (2024) - 2023
- [c29]Jordi Pons, Joan Serrà, Santiago Pascual, Giulio Cengarle, Daniel Arteaga, Davide Scaini:
Upsampling Layers for Music Source Separation. EUSIPCO 2023: 311-315 - [c28]Santiago Pascual, Gautam Bhattacharya, Chunghsin Yeh, Jordi Pons, Joan Serrà:
Full-Band General Audio Synthesis with Score-Based Diffusion. ICASSP 2023: 1-5 - [c27]Emilian Postolache, Jordi Pons, Santiago Pascual, Joan Serrà:
Adversarial Permutation Invariant Training for Universal Sound Separation. ICASSP 2023: 1-5 - [c26]Joan Serrà, Davide Scaini, Santiago Pascual, Daniel Arteaga, Jordi Pons, Jeroen Breebaart, Giulio Cengarle:
Mono-to-Stereo Through Parametric Stereo Generation. ISMIR 2023: 304-310 - [c25]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. WASPAA 2023: 1-5 - [i31]Jaume Ros, Margarita Geleta, Jordi Pons, Xavier Giró-i-Nieto:
Towards Robust Image-in-Audio Deep Steganography. CoRR abs/2303.05007 (2023) - [i30]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. CoRR abs/2306.09635 (2023) - [i29]Joan Serrà, Davide Scaini, Santiago Pascual, Daniel Arteaga, Jordi Pons, Jeroen Breebaart, Giulio Cengarle
Mono-to-stereo through parametric stereo generation. CoRR abs/2306.14647 (2023) - [i28]Jordi Pons, Xiaoyu Liu, Santiago Pascual, Joan Serrà:
GASS: Generalizing Audio Source Separation with Large-scale Data. CoRR abs/2310.00140 (2023) - 2022
- [j2]Eduardo Fonseca
FSD50K: An Open Dataset of Human-Labeled Sound Events. IEEE ACM Trans. Audio Speech Lang. Process. 30: 829-852 (2022) - [c24]Enric Gusó
On Loss Functions and Evaluation Metrics for Music Source Separation. ICASSP 2022: 306-310 - [c23]Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto:
Pixinwav: Residual Steganography for Hiding Pixels in Audio. ICASSP 2022: 2485-2489 - [c22]Nicolás Schmidt, Jordi Pons, Marius Miron:
PodcastMix: A dataset for separating music and speech in podcasts. INTERSPEECH 2022: 231-235 - [i27]Enric Gusó, Jordi Pons, Santiago Pascual, Joan Serrà:
On loss functions and evaluation metrics for music source separation. CoRR abs/2202.07968 (2022) - [i26]Joan Serrà, Santiago Pascual, Jordi Pons, R. Oguz Araz, Davide Scaini:
Universal Speech Enhancement with Score-based Diffusion. CoRR abs/2206.03065 (2022) - [i25]Nicolás Schmidt, Jordi Pons, Marius Miron:
PodcastMix: A dataset for separating music and speech in podcasts. CoRR abs/2207.07403 (2022) - [i24]Emilian Postolache, Jordi Pons, Santiago Pascual, Joan Serrà:
Adversarial Permutation Invariant Training for Universal Sound Separation. CoRR abs/2210.12108 (2022) - [i23]Santiago Pascual, Gautam Bhattacharya, Chunghsin Yeh, Jordi Pons, Joan Serrà:
Full-band General Audio Synthesis with Score-based Diffusion. CoRR abs/2210.14661 (2022) - 2021
- [c21]Xiaoyu Liu, Jordi Pons:
On Permutation Invariant Training For Speech Source Separation. ICASSP 2021: 6-10 - [c20]Christian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà:
Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio Effects. ICASSP 2021: 71-75 - [c19]Daniel Arteaga, Jordi Pons:
Multichannel-based Learning for Audio Object Extraction. ICASSP 2021: 206-210 - [c18]Joan Serrà, Jordi Pons, Santiago Pascual:
SESQA: Semi-Supervised Learning for Speech Quality Assessment. ICASSP 2021: 381-385 - [c17]Jordi Pons, Santiago Pascual, Giulio Cengarle, Joan Serrà:
Upsampling Artifacts in Neural Audio Synthesis. ICASSP 2021: 3005-3009 - [c16]Santiago Pascual, Joan Serrà, Jordi Pons:
Adversarial Auto-Encoding for Packet Loss Concealment. WASPAA 2021: 71-75 - [i22]Xiaoyu Liu, Jordi Pons:
On permutation invariant training for speech source separation. CoRR abs/2102.04945 (2021) - [i21]Daniel Arteaga, Jordi Pons:
Multichannel-based learning for audio object extraction. CoRR abs/2102.06142 (2021) - [i20]Joan Serrà, Santiago Pascual, Jordi Pons:
On tuning consistent annealed sampling for denoising score matching. CoRR abs/2104.03725 (2021) - [i19]Margarita Geleta
PixInWav: Residual Steganography for Hiding Pixels in Audio. CoRR abs/2106.09814 (2021) - [i18]Santiago Pascual, Joan Serrà, Jordi Pons:
Adversarial Auto-Encoding for Packet Loss Concealment. CoRR abs/2107.03100 (2021) - [i17]Jordi Pons, Joan Serrà, Santiago Pascual, Giulio Cengarle, Daniel Arteaga, Davide Scaini:
Upsampling layers for music source separation. CoRR abs/2111.11773 (2021) - 2020
- [c15]Pablo Alonso-Jiménez, Dmitry Bogdanov
Tensorflow Audio Models in Essentia. ICASSP 2020: 266-270 - [c14]Berkan Kadioglu, Michael Horgan, Xiaoyu Liu, Jordi Pons, Dan Darcy, Vivek Kumar:
An Empirical Study of Conv-Tasnet. ICASSP 2020: 7264-7268 - [d2]Eduardo Fonseca
FSD50K. Zenodo, 2020 - [i16]Berkan Kadioglu, Michael Horgan, Xiaoyu Liu, Jordi Pons, Dan Darcy, Vivek Kumar:
An empirical study of Conv-TasNet. CoRR abs/2002.08688 (2020) - [i15]Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
TensorFlow Audio Models in Essentia. CoRR abs/2003.07393 (2020) - [i14]Joan Serrà, Jordi Pons, Santiago Pascual:
SESQA: semi-supervised learning for speech quality assessment. CoRR abs/2010.00368 (2020) - [i13]Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra:
FSD50K: an Open Dataset of Human-Labeled Sound Events. CoRR abs/2010.00475 (2020) - [i12]Christian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà:
Automatic multitrack mixing with a differentiable mixing console of neural audio effects. CoRR abs/2010.10291 (2020) - [i11]Jordi Pons, Santiago Pascual, Giulio Cengarle, Joan Serrà:
Upsampling artifacts in neural audio synthesis. CoRR abs/2010.14356 (2020)
2010 – 2019
- 2019
- [b1]Jordi Pons:
Deep neural networks for music and audio tagging. Pompeu Fabra University, Spain, 2019 - [c13]Jordi Pons, Joan Serrà, Xavier Serra
Training Neural Audio Classifiers with Few Data. ICASSP 2019: 16-20 - [c12]Jordi Pons, Xavier Serra
Randomly Weighted CNNs for (Music) Audio Classification. ICASSP 2019: 336-340 - [c11]Francesc Lluís
End-to-End Music Source Separation: Is it Possible in the Waveform Domain? INTERSPEECH 2019: 4619-4623 - [d1]Eduardo Fonseca
FSDKaggle2018. Zenodo, 2019 - [i10]Jordi Pons, Xavier Serra:
musicnn: Pre-trained convolutional neural networks for music audio tagging. CoRR abs/1909.06654 (2019) - 2018
- [c10]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra:
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. DCASE 2018: 69-73 - [c9]Dario Rethage, Jordi Pons, Xavier Serra
A Wavenet for Speech Denoising. ICASSP 2018: 5069-5073 - [c8]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end Learning for Music Audio Tagging at Scale. ISMIR 2018: 637-644 - [i9]Jordi Pons, Xavier Serra:
Randomly weighted CNNs for (music) audio classification. CoRR abs/1805.00237 (2018) - [i8]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra:
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. CoRR abs/1807.09902 (2018) - [i7]Jordi Pons, Joan Serrà, Xavier Serra:
Training neural audio classifiers with few data. CoRR abs/1810.10274 (2018) - [i6]Francesc Lluís, Jordi Pons, Xavier Serra:
End-to-end music source separation: is it possible in the waveform domain? CoRR abs/1810.12187 (2018) - 2017
- [c7]Jordi Pons, Olga Slizovskaia
Timbre analysis of music audio signals with convolutional neural networks. EUSIPCO 2017: 2744-2748 - [c6]Jordi Pons, Xavier Serra
Designing efficient architectures for modeling temporal features with convolutional neural networks. ICASSP 2017: 2472-2476 - [c5]Jordi Pons, Rong Gong, Xavier Serra:
Score-Informed Syllable Segmentation for A Cappella Singing Voice with Convolutional Neural Networks. ISMIR 2017: 383-389 - [c4]Rong Gong, Jordi Pons, Xavier Serra:
Audio to Score Matching by Combining Phonetic and Duration Information. ISMIR 2017: 428-434 - [c3]Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra:
Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR 2017: 486-493 - [i5]Jordi Pons, Olga Slizovskaia, Rong Gong, Emilia Gómez, Xavier Serra:
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks. CoRR abs/1703.06697 (2017) - [i4]Dario Rethage, Jordi Pons, Xavier Serra:
A Wavenet for Speech Denoising. CoRR abs/1706.07162 (2017) - [i3]Jordi Pons, Rong Gong, Xavier Serra:
Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks. CoRR abs/1707.03544 (2017) - [i2]Rong Gong, Jordi Pons, Xavier Serra:
Audio to score matching by combining phonetic and duration information. CoRR abs/1707.03547 (2017) - [i1]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end learning for music audio tagging at scale. CoRR abs/1711.02520 (2017) - 2016
- [c2]Jordi Pons, Thomas Lidy, Xavier Serra
Experimenting with musically motivated convolutional neural networks. CBMI 2016: 1-6 - 2015
- [c1]Axel Roebel
On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence. ICASSP 2015: 414-418 - 2010
- [j1]Elena Valderrama, Mercè Rullán-Ayza, Fermín Sánchez, Jordi Pons, Claudi Mans i Teixidó, Francesc Giné, Gonzalo Seco, Laureà Jiménez, Enric Peig, Julián Carrera, Asunción Moreno, Jordi García, Julio Pérez, Ramón Vilanova, Fernando Cores, Josep Maria Renau, Javier Tejero, Jesús Bisbal:
La Evaluación de Competencias en los Trabajos Fin de Estudios. Rev. Iberoam. de Tecnol. del Aprendiz. 5(3): 107-114 (2010)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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