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Chandna, Pritish
31  Ergebnisse:
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1

A Deep-Learning Based Framework for Source Separation, Anal..:

Chandna, Pritish ; Cuesta, Helena ; Petermann, Darius.
Frontiers in Signal Processing.  2 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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2

Loopnet: Musical Loop Synthesis Conditioned on Intuitive Mu..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Chandna, Pritish ; Ramires, Antonio ; Serra, Xavier. - p. 3395-3399 , 2021
Link: https://doi.org/10.1109/..
 
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3

Content Based Singing Voice Extraction from a Musical Mixtu..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Chandna, Pritish ; Blaauw, Merlijn ; Bonada, Jordi. - p. 781-785 , 2020
Link: https://doi.org/10.1109/..
 
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4

Neural Percussive Synthesis Parameterised by High-Level Tim..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Ramires, Antonio ; Chandna, Pritish ; Favory, Xavier.. - p. 786-790 , 2020
Link: https://doi.org/10.1109/..
 
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5

WGANSing: A Multi-Voice Singing Voice Synthesizer Based on ..:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),
Chandna, Pritish ; Blaauw, Merlijn ; Bonada, Jordi. - p. 1-5 , 2019
Link: https://doi.org/10.23919..
 
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6

Neural networks for singing voice extraction in monaural po..:

Chandna, Pritish
http://hdl.handle.net/10803/673414.  , 2022
Link: http://hdl.handle.net/10..
 
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7

Voice conversion with limited data and limitless data augme..:

Slizovskaia, Olga ; Janer, Jordi ; Chandna, Pritish.
http://arxiv.org/abs/2212.13581.  , 2022
Link: http://arxiv.org/abs/221..
 
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8

LoopNet: Musical Loop Synthesis Conditioned On Intuitive Mu..:

Chandna, Pritish ; Ramires, António ; Serra, Xavier.
http://arxiv.org/abs/2105.10371.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

Content Based Singing Voice Extraction From a Musical Mixtu..:

Chandna, Pritish ; Blaauw, Merlijn ; Bonada, Jordi.
http://arxiv.org/abs/2002.04933.  , 2020
Link: http://arxiv.org/abs/200..
 
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10

Deep Learning Based Source Separation Applied To Choir Ense..:

Petermann, Darius ; Chandna, Pritish ; Cuesta, Helena..
http://arxiv.org/abs/2008.07645.  , 2020
Link: http://arxiv.org/abs/200..
 
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11

A Deep Learning Based Analysis-Synthesis Framework For Unis..:

Chandna, Pritish ; Cuesta, Helena ; Gómez, Emilia
http://arxiv.org/abs/2009.09875.  , 2020
Link: http://arxiv.org/abs/200..
 
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12

WGANSing: A Multi-Voice Singing Voice Synthesizer Based on ..:

Chandna, Pritish ; Blaauw, Merlijn ; Bonada, Jordi.
http://arxiv.org/abs/1903.10729.  , 2019
Link: http://arxiv.org/abs/190..
 
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13

Neural Percussive Synthesis Parameterised by High-Level Tim..:

Ramires, António ; Chandna, Pritish ; Favory, Xavier..
http://arxiv.org/abs/1911.11853.  , 2019
Link: http://arxiv.org/abs/191..
 
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14

A Vocoder Based Method For Singing Voice Extraction:

Chandna, Pritish ; Blaauw, Merlijn ; Bonada, Jordi.
http://arxiv.org/abs/1903.07554.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

A Framework for Multi-f0 Modeling in SATB Choir Recordings:

Cuesta, Helena ; Gómez, Emilia ; Chandna, Pritish
http://arxiv.org/abs/1904.05086.  , 2019
Link: http://arxiv.org/abs/190..
 
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