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author={C. {Laurent} and G. {Pereyra} and P. {Brakel} and Y. {Zhang} and Y. {Bengio}}, 
booktitle={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
title={Batch normalized recurrent neural networks}, 
year={2016}, 
volume={}, 
number={}, 
pages={2657-2661}, 
keywords={feedforward neural nets;learning (artificial intelligence);recurrent neural nets;speech recognition;batch normalized recurrent neural networks;RNN;sequential data;long-term dependency learning;convergence rate improvement;intermediate representation normalization;feedforward neural networks;speech recognition task;language modeling;training criterion;Training;Recurrent neural networks;Convergence;Speech recognition;Computer architecture;Speech;batch normalization;RNN;LSTM;optimization}, 
doi={10.1109/ICASSP.2016.7472159}, 
ISSN={2379-190X}, 
month={March},}

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@INPROCEEDINGS{Sercu-2016, 
author={T. {Sercu} and C. {Puhrsch} and B. {Kingsbury} and Y. {LeCun}}, 
booktitle={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
title={Very deep multilingual convolutional neural networks for LVCSR}, 
year={2016}, 
volume={}, 
number={}, 
pages={4955-4959}, 
keywords={natural language processing;neural nets;speech recognition;very deep multilingual convolutional neural networks;LVCSR;CNN;large vocabulary continuous speech recognition systems;word error rate;Training;Context;Hidden Markov models;Neural networks;Computer architecture;Kernel;Training data;Convolutional Networks;Multilingual;Acoustic Modeling;Speech Recognition;Neural Networks}, 
doi={10.1109/ICASSP.2016.7472620}, 
ISSN={2379-190X}, 
month={March},}


@inproceedings{Sercu+2016,
author={Tom Sercu and Vaibhava Goel},
title={Advances in Very Deep Convolutional Neural Networks for LVCSR},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-1033},
url={http://dx.doi.org/10.21437/Interspeech.2016-1033},
pages={3429--3433}
}

@INPROCEEDINGS{Xiong-2018, 
author={W. {Xiong} and L. {Wu} and F. {Alleva} and J. {Droppo} and X. {Huang} and A. {Stolcke}}, 
booktitle={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
title={The Microsoft 2017 Conversational Speech Recognition System}, 
year={2018}, 
volume={}, 
number={}, 
pages={5934-5938}, 
keywords={convolution;feedforward neural nets;natural language processing;speaker recognition;speech processing;language model rescoring step;senone level;switchboard domains;character-based LSTM language models;NIST 2000 switchboard test set;frame level;word-level voting;acoustic model posteriors;dialog session aware LSTM language models;CNN-BLSTM acoustic model;Microsoft 2017 conversational speech recognition system;Acoustics;Error analysis;Training;Speech recognition;Switches;Computational modeling;Context modeling;Conversational speech recognition;CNN;LACE;BLSTM;LSTM-LM;system combination;human parity}, 
doi={10.1109/ICASSP.2018.8461870}, 
ISSN={2379-190X}, 
month={April},}

@inproceedings{zeyer2018improved,
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}

@article{Wav2LetterV2,
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  volume    = {abs/1712.09444},
  year      = {2017},
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  timestamp = {Mon, 13 Aug 2018 16:46:33 +0200},
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@article{zeghidour2018,
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@inproceedings{Tang2018,
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@inproceedings{Povey+2016,
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@article{liptchinsky2017based,
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@inproceedings{Weng2018,
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author={E. {Battenberg} and J. {Chen} and R. {Child} and A. {Coates} and Y. G. Y. {Li} and H. {Liu} and S. {Satheesh} and A. {Sriram} and Z. {Zhu}}, 
booktitle={2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)}, 
title={Exploring neural transducers for end-to-end speech recognition}, 
year={2017}, 
volume={}, 
number={}, 
pages={206-213}, 
keywords={recurrent neural nets;speech recognition;Hub500 benchmark;CTC models;speech recognition pipeline;RNN-Transducer models;language model;Seq2Seq models;end-to-end speech recognition;neural transducers;Decoding;Hidden Markov models;Transducers;Task analysis;Speech;Mathematical model;Neural networks}, 
doi={10.1109/ASRU.2017.8268937}, 
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month={Dec},
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@article{Dawalatabad_2021,
   title={ECAPA-TDNN Embeddings for Speaker Diarization},
   url={http://dx.doi.org/10.21437/Interspeech.2021-941},
   DOI={10.21437/interspeech.2021-941},
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}
