2017 - Prabhavalkar et al. - A Comparison of sequence-to-sequence models for speech recognition_1648060506301.pdf
2017 - Yu, Li - Recent progresses in deep learning based acoustic models_1648060506418.pdf
2006 - Graves - Connectionist Temporal Classification Labelling Unsegmented Sequence Data with Recurrent Neural Networks_1648060506608.pdf
2014 - Graves, Jaitly - Towards end-to-end speech recognition with recurrent neural networks_1648060506811.pdf
2016 - Collobert, Puhrsch, Synnaeve - Wav2Letter an End-to-End ConvNet-based Speech Recognition System_1648060506909.pdf
2016 - Miao, Gowayyed, Metze - EESEN End-to-end speech recognition using deep RNN models and WFST-based decoding_1648060507027.pdf
2016 - Xiao, Ketcha - Deep Speech 2 End-to-End Speech Recognition in English and Mandarin_1648060507141.pdf
2012 - Graves - Sequence Transduction with Recurrent Neural Networks_1648060507287.pdf
2013 - Graves - Speech Recognition With Deep Recurrent Neural Networks_1648060507505.pdf
2018 - Kanishka - Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer_1648060507699.pdf
2014 - Chorowski et al. - End-to-end Continuous Speech Recognition using Attention-based Recurrent NN First Results_1648060507857.pdf
2015 - Chan et al. - Listen, Attend and Spell_1648060507980.pdf
2015 - Chorowski et al. - Attention-based models for speech recognition_1648060508386.pdf
2017 - Zhang, Chan, Jaitly - Very deep convolutional networks for end-to-end speech recognition_1648060508820.pdf
2018 - Toshniwal et al. - A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition_1648060508949.pdf
2018 - Watanabe et al. - ESPNet End-to-end speech processing toolkit_1648060509098.pdf
2018 - Xiao et al. - Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units_1648060509173.pdf
2008 - Gales, Young - The Application of Hidden Markov Models in Speech Recognition_1648060509254.pdf
2013 - Deng, Li - Machine Learning Paradigms for Speech Recognition An Overview_1648060509384.pdf
2015 - Xuedong Huang - A Historical Perspective of Speech Recognition_1648060509890.pdf
2017 - Yu, Li - Recent Progresses in Deep Learning Based Acoustic Models_1648060510282.pdf
1989 - Rabiner - A tutorial on Hidden Markov Models and Selected Applications in speech recognition_1648060510483.pdf
1994 - Young, Odell, Woodland - Tree-based state tying for high accuracy acoustic modelling_1648060510875.pdf
1998 - Jeff.A - A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models_1648060511007.pdf
2012 - Dahl et al. - Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition_1648060511060.pdf
2015 - Peddinti, Povey, Khudanpur - A time delay neural network architecture for efficient modeling of long temporal contexts_1648060511135.pdf
2015 - Sainath et al. - Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks_1648060511242.pdf
2015 - Sak et al. - Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition_1648060511327.pdf
2015 - Zhang et al. - Feedforward Sequential Memory Networks A New Structure to Learn Long-term Dependency_1648060511409.pdf
2015 - Zhang et al. - Highway Long Short-Term Memory RNNs for Distant Speech Recognition_1648060511544.pdf
2016 - Yu et al. - Deep Convolutional Neural Networks with Layer-wise Context Expansion and Attention_1648060511687.pdf
1998 - Stanley.F. Chen - An Empirical study of smoothing Techniques for Language Modeling_1648060511786.pdf
2003 - Bengio - A Neural Probabilistic Language Model_1648060511916.pdf
2012 - Minh - A fast and simple algorithm for training neural probabilistic language models_1648060512058.pdf
1989 - S.J. Young - Token passing a simple conceptual model for connected speech recognition systems_1648060512151.pdf
2002 - Aubert - An overview of decoding techniques for large vocabulary continuous speech recognition_1648060512262.pdf
2008 - Mohri, Pereira, Riley - Speech Recognition with Weighted Finite-State Transducers_1648060512307.pdf
2015 - Aleksic et al. - Bringing Contextual Information to Google Speech Recognition_1648060512455.pdf
2015 - Aleksic et al. - Improved Recognition of Contact Names in Voice Commands_1648060512540.pdf
2013 - Vesely et al. - Sequence-discriminative training of deep neural networks_1648060512611.pdf
2016 - Povey et al. - Purely sequence-trained neural networks for ASR based on lattice-free MMI_1648060512666.pdf
2018 - Hadian et al. - End-to-end speech recognition using lattice-free MMI_1648060512733.pdf
2012 - Li et al. - Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM_1648060512816.pdf
2017 - Kim et al. - Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field_1648060512992.pdf
2017 - Li et al. - Large-Scale Domain Adaptation via Teacher-Student Learning_1648060513094.pdf
2018 - Narayanan et al. - Toward Domain-Invariant Speech Recognition via Large Scale Training_1648060513206.pdf
2019 - Park et al. - Specaugment A simple data augmentation method for automatic speech recognition_1648060513305.pdf
1998 - M.J.F Gales - Maximum likelihood linear transformations for hmm-based speech recognition_1648060513763.pdf
2011 - Dehak et al. - Front-End Factor Analysis For Speaker Verification_1648060513803.pdf
2015 - Peddinti et al. - JHU ASPIRE System Robust LVCSR With TDNNS , iVector Adaptation and RNN-LMS_1648060513947.pdf
2017 - W.Xiong , L.Wu , F.Alleva , J.Droppo , X.Huang - THE MICROSOFT 2017 CONVERSATIONAL SPEECH RECOGNITION SYSTEM_1648060514046.pdf