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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
27352016
librosa: Audio and music signal analysis in python
B McFee, C Raffel, D Liang, DP Ellis, M McVicar, E Battenberg, O Nieto
Proceedings of the 14th python in science conference 8, 18-25, 2015
16242015
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
4962018
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
450*2015
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
3962018
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
198*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
872020
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
632017
Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures.
E Battenberg, D Wessel
ISMIR, 501-506, 2009
532009
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
492017
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
482011
Analyzing Drum Patterns Using Conditional Deep Belief Networks.
E Battenberg, D Wessel
ISMIR, 37-42, 2012
472012
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
462020
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
432021
librosa: 0.4. 1
B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ...
Zenodo, 2015
432015
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Zenodo, January, 2020
372020
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
372019
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
322019
Advances in the parallelization of music and audio applications
E Battenberg, A Freed, D Wessel
ICMC, 2010
242010
nullmightybofo, P. Friesch, F
B McFee, M McVicar, S Balke, V Lostanlen, C Thom, C Raffel, D Lee, ...
R. Stter, Thassilo, M. Vollrath, SK Golu, nehz, S. Waloschek, Seth, R …, 2019
232019
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