End-to-end Speech Recognition

Importance	Paper	Published	Notes
	Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks	2006	Alex Grave
★★★★★★	Supervised sequence labelling with recurrent neural networks	2012	Alex Graves's PhD thesis
	Speech Recognition with Deep Recurrent Neural Networks	March 2013	Bi-LSTM + skip connections w/ CTC
★★★★	Towards end-to-end speech recognition with recurrent neural networks	2014
	End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results	2014
★	Deep Speech: Scaling up end-to-end speech recognition	December 2014	CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trained only on SWB
★★★	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	December 2015	Baidu
★★★	Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition	2016	Google, Word-level end-to-end
	End-to-End Attention-based Large Vocabulary Speech Recognition	2016
	Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning	2016
	Listen, attend and spell: A neural network for large vocabulary conversational speech recognition	2016	Google
	Very Deep Convolutional Networks for End-to-End Speech Recognition	2016
	Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM	2017
★	Attention-Based End-to-End Speech Recognition in Mandarin	2017
	Residual Convolutional CTC Networks for Automatic Speech Recognition	2017

Connectionist Temporal Classification (CTC)

Article	Notes
谁给讲讲语音识别中的CTC方法的基本原理？
论文——Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks