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Eric Battenberg
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Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
35692016
librosa: Audio and music signal analysis in python.
B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto
SciPy, 18-24, 2015
27512015
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International conference on machine learning, 5180-5189, 2018
8622018
Towards end-to-end prosody transfer for expressive speech synthesis with tacotron
RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ...
international conference on machine learning, 4693-4702, 2018
6282018
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
470*2015
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017
257*2017
Location-relative attention mechanisms for robust long-form speech synthesis
E Battenberg, RJ Skerry-Ryan, S Mariooryad, D Stanton, D Kao, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1202020
Wave-tacotron: Spectrogram-free end-to-end text-to-speech synthesis
RJ Weiss, RJ Skerry-Ryan, E Battenberg, S Mariooryad, DP Kingma
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
1092021
Uncovering latent style factors for expressive speech synthesis
Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ...
arXiv preprint arXiv:1711.00520, 2017
862017
librosa/librosa: 0.8. 0
B McFee, V Lostanlen, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, ...
Version 0.8. 0, Zenodo, doi 10, 2020
822020
librosa: Audio and music signal analysis in python
MF Brian, R Colin, L Dawen, PWE Daniel, M McVicar, E Battenberg
Proceedings of the 14th python in science conference 8, 18-25, 2015
802015
viktorandreevichmorozov, K
B McFee, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, F Zalkow, ...
Moore, R. Bittner, S. Hidaka, Z. Wei, nullmightybofo, D. Herenú, F.-R …, 2020
582020
Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures.
E Battenberg, D Wessel
ISMIR, 501-506, 2009
562009
Semi-supervised generative modeling for controllable speech synthesis
R Habib, S Mariooryad, M Shannon, E Battenberg, RJ Skerry-Ryan, ...
arXiv preprint arXiv:1910.01709, 2019
552019
librosa 0.5. 0
B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ...
Zenodo. URL: https://doi. org/10 5281, 2017
552017
Effective use of variational embedding capacity in expressive end-to-end speech synthesis
E Battenberg, S Mariooryad, D Stanton, RJ Skerry-Ryan, M Shannon, ...
arXiv preprint arXiv:1906.03402, 2019
532019
Implementing real-time partitioned convolution algorithms on conventional operating systems
E Battenberg, R Avizienis
Proceedings of the 14th International Conference on Digital Audio Effects …, 2011
502011
librosa: 0.4. 1
B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ...
Zenodo, 2015
482015
Analyzing Drum Patterns Using Conditional Deep Belief Networks.
E Battenberg, D Wessel
ISMIR, 37-42, 2012
462012
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Zenodo, Jan 13, 2020
372020
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