Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Seetapun, David"'
Autor:
Battenberg, Eric, Chen, Jitong, Child, Rewon, Coates, Adam, Gaur, Yashesh, Li, Yi, Liu, Hairong, Satheesh, Sanjeev, Seetapun, David, Sriram, Anuroop, Zhu, Zhenyao
In this work, we perform an empirical comparison among the CTC, RNN-Transducer, and attention-based Seq2Seq models for end-to-end speech recognition. We show that, without any language model, Seq2Seq and RNN-Transducer models both outperform the best
Externí odkaz:
http://arxiv.org/abs/1707.07413
Autor:
Battenberg, Eric, Child, Rewon, Coates, Adam, Fougner, Christopher, Gaur, Yashesh, Huang, Jiaji, Jun, Heewoo, Kannan, Ajay, Kliegl, Markus, Kumar, Atul, Liu, Hairong, Rao, Vinay, Satheesh, Sanjeev, Seetapun, David, Sriram, Anuroop, Zhu, Zhenyao
Replacing hand-engineered pipelines with end-to-end deep learning systems has enabled strong results in applications like speech and object recognition. However, the causality and latency constraints of production systems put end-to-end speech models
Externí odkaz:
http://arxiv.org/abs/1705.04400
Autor:
Amodei, Dario, Anubhai, Rishita, Battenberg, Eric, Case, Carl, Casper, Jared, Catanzaro, Bryan, Chen, Jingdong, Chrzanowski, Mike, Coates, Adam, Diamos, Greg, Elsen, Erich, Engel, Jesse, Fan, Linxi, Fougner, Christopher, Han, Tony, Hannun, Awni, Jun, Billy, LeGresley, Patrick, Lin, Libby, Narang, Sharan, Ng, Andrew, Ozair, Sherjil, Prenger, Ryan, Raiman, Jonathan, Satheesh, Sanjeev, Seetapun, David, Sengupta, Shubho, Wang, Yi, Wang, Zhiqian, Wang, Chong, Xiao, Bo, Yogatama, Dani, Zhan, Jun, Zhu, Zhenyao
We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Because it replaces entire pipelines of hand-engineered components with neural networks, end-to-end
Externí odkaz:
http://arxiv.org/abs/1512.02595