查看“语音识别”的源代码

= 语音识别 =

语音识别，Automatic Speech Recognition，简称ASR

== 基本工具 ==

=== LSTM ===

Long short term memory neural network

# Long short term memory neural computation, Neural computation 9 (8), 1735-1780, 1997. [http://ieeexplore.ieee.org/document/6795963 LSTM]

=== CTC ===

Connectionist temporal classification

# Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks, ICML 2006.

=== GRU ===

Gated Recursive Unit

# On the Properties of Neural Machine Translation: Encoder-Decoder Approaches, SSST-8, 2014.

== 研究 ==

=== 传统方法综述 ===

# Karpagavalli, S., and E. Chandra. "A Review on Automatic Speech Recognition Architecture and Approaches." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, No. 4 (2016): 393-404.

=== Google ===

[http://www.cs.toronto.edu/~graves/ Alex Graves]，DeepMind研究员，语音识别多项技术开创者

# Speech recognition with deep recurrent neural networks, 2013.
# Hybrid speech recognition with deep bidirectional LSTM, ASRU 2013.
# Towards End-To-End Speech Recognition with Recurrent Neural Networks, ICML 2014.
# Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks, ICML 2006.

Google Speech

# Google Speech Processing from Mobile to Farfield, CHiME 2016. [http://spandh.dcs.shef.ac.uk/chime_workshop/presentations/CHiME_2016_Bacchiani_keynote.pdf Google_Speech_Processing]

#Listen, attend and spell: A neural network for large vocabulary conversational speech recognition, ICASSP 2015.
#Convolutional, long short-term memory, fully connected deep neural networks, ICASSP 2015.
#Context dependent phone models for LSTM RNN acoustic modelling, ICASSP 2015.
#Learning the Speech Front-end With Raw Waveform CLDNNs, InterSpeech 2015.

=== Baidu ===

#Deep Speech 2 End-to-End Speech Recognition in English and Mandarin, JMLR 2016.
#Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling