End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator

Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

Type: Preprint

Publication Date: 2018-01-01

Citations: 4

DOI: https://doi.org/10.48550/arxiv.1810.13107

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arXiv (Cornell University) - View - PDF
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+	First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs	2014	Andrew L. Maas Awni Hannun Daniel Jurafsky Andrew Y. Ng
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville
+ PDF Chat	Joint CTC-attention based end-to-end speech recognition using multi-task learning	2017	Suyoun Kim Takaaki Hori Shinji Watanabe
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole
+	Tacotron: Towards End-to-End Speech Synthesis	2017	Yuxuan Wang RJ Skerry-Ryan Daisy Stanton Yonghui Wu Ron J. Weiss Navdeep Jaitly Zongheng Yang Ying Xiao Zhifeng Chen Samy Bengio
+	Listening while Speaking: Speech Chain by Deep Learning	2017	Andros Tjandra Sakriani Sakti Satoshi Nakamura
+	Attention-based Wav2Text with Feature Transfer Learning	2017	Andros Tjandra Sakriani Sakti Satoshi Nakamura
+	Machine Speech Chain with One-shot Speaker Adaptation	2018	Andros Tjandra Sakriani Sakti Satoshi Nakamura