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pro vyhledávání: '"Battenberg A"'
Autor:
Mariooryad, Soroosh, Shannon, Matt, Ma, Siyuan, Bagby, Tom, Kao, David, Stanton, Daisy, Battenberg, Eric, Skerry-Ryan, RJ
We present a noisy channel generative model of two sequences, for example text and speech, which enables uncovering the association between the two modalities when limited paired data is available. To address the intractability of the exact model und
Externí odkaz:
http://arxiv.org/abs/2212.03232
Autor:
Stanton, Daisy, Shannon, Matt, Mariooryad, Soroosh, Skerry-Ryan, RJ, Battenberg, Eric, Bagby, Tom, Kao, David
This work explores the task of synthesizing speech in nonexistent human-sounding voices. We call this task "speaker generation", and present TacoSpawn, a system that performs competitively at this task. TacoSpawn is a recurrent attention-based text-t
Externí odkaz:
http://arxiv.org/abs/2111.05095
Autor:
Zhang, Yu, Fu, Yuan, Xian, Wenfei, Li, Xiuli, Feng, Yong, Bu, Fengjiao, Shi, Yan, Chen, Shiyu, van Velzen, Robin, Battenberg, Kai, Berry, Alison M., Salgado, Marco G., Liu, Hui, Yi, Tingshuang, Fournier, Pascale, Alloisio, Nicole, Pujic, Petar, Boubakri, Hasna, Schranz, M. Eric, Delaux, Pierre-Marc, Wong, Gane Ka-Shu, Hocher, Valerie, Svistoonoff, Sergio, Gherbi, Hassen, Wang, Ertao, Kohlen, Wouter, Wall, Luis G., Parniske, Martin, Pawlowski, Katharina, Normand, Philippe, Doyle, Jeffrey J., Cheng, Shifeng
Publikováno v:
In Plant Communications 8 January 2024 5(1)
We describe a sequence-to-sequence neural network which directly generates speech waveforms from text inputs. The architecture extends the Tacotron model by incorporating a normalizing flow into the autoregressive decoder loop. Output waveforms are m
Externí odkaz:
http://arxiv.org/abs/2011.03568
Autor:
Shannon, Matt, Poole, Ben, Mariooryad, Soroosh, Bagby, Tom, Battenberg, Eric, Kao, David, Stanton, Daisy, Skerry-Ryan, RJ
Non-saturating generative adversarial network (GAN) training is widely used and has continued to obtain groundbreaking results. However so far this approach has lacked strong theoretical justification, in contrast to alternatives such as f-GANs and W
Externí odkaz:
http://arxiv.org/abs/2010.08029
Autor:
Battenberg, Eric, Skerry-Ryan, RJ, Mariooryad, Soroosh, Stanton, Daisy, Kao, David, Shannon, Matt, Bagby, Tom
Despite the ability to produce human-level speech for in-domain text, attention-based end-to-end text-to-speech (TTS) systems suffer from text alignment failures that increase in frequency for out-of-domain text. We show that these failures can be ad
Externí odkaz:
http://arxiv.org/abs/1910.10288
Autor:
Habib, Raza, Mariooryad, Soroosh, Shannon, Matt, Battenberg, Eric, Skerry-Ryan, RJ, Stanton, Daisy, Kao, David, Bagby, Tom
We present a novel generative model that combines state-of-the-art neural text-to-speech (TTS) with semi-supervised probabilistic latent variable models. By providing partial supervision to some of the latent variables, we are able to force them to t
Externí odkaz:
http://arxiv.org/abs/1910.01709
Autor:
Battenberg, Eric, Mariooryad, Soroosh, Stanton, Daisy, Skerry-Ryan, RJ, Shannon, Matt, Kao, David, Bagby, Tom
Recent work has explored sequence-to-sequence latent variable models for expressive speech synthesis (supporting control and transfer of prosody and style), but has not presented a coherent framework for understanding the trade-offs between the compe
Externí odkaz:
http://arxiv.org/abs/1906.03402
Autor:
Kai Battenberg, S. Thomas Kelly, Radu Abu Ras, Nicola A. Hetherington, Makoto Hayashi, Aki Minoda
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-7 (2022)
As the throughput of single-cell RNA-seq studies increases, there is a need for tools that can make the data analysis steps more streamlined and convenient. Here, the authors develop UniverSC, a tool that unifies single-cell RNA-seq analysis workflow
Externí odkaz:
https://doaj.org/article/c18eaee4518441a59721421980d5134e
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 35, Iss 9, Pp 845-856 (2022)
Lysin-motif receptor-like kinases (LysM-RLKs) are involved in the recognition of microbe-associated molecular patterns to initiate pattern-triggered immunity (PTI). LysM-RLKs are also required for recognition of microbe-derived symbiotic signal molec
Externí odkaz:
https://doaj.org/article/e3b3b9684bfb40d5bc0fbd51dbad2725