Chaojun Liu

According to our database1, Chaojun Liu authored at least 26 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
1-D Row-Convolution LSTM: Fast Streaming ASR at Accuracy Parity with LC-BLSTM.
Proceedings of the Interspeech 2020, 2020

2017
Challenges in and Solutions to Deep Learning Network Acoustic Modeling in Speech Recognition Products at Microsoft.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016
A Dual-Linear Kalman Filter for Real-Time Orientation Determination System Using Low-Cost MEMS Sensors.
Sensors, 2016

Recurrent support vector machines for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Geo-location dependent deep neural network acoustic model for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Investigations on speaker adaptation of LSTM RNN models for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Non-negative intermediate-layer DNN adaptation for a 10-KB speaker adaptation profile.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Intermediate-layer DNN adaptation for offline and session-based iterative speaker adaptation.
Proceedings of the INTERSPEECH 2015, 2015

Delta-melspectra features for noise robustness to DNN-based ASR systems.
Proceedings of the INTERSPEECH 2015, 2015

Confidence-features and confidence-scores for ASR applications in arbitration and DNN speaker adaptation.
Proceedings of the INTERSPEECH 2015, 2015

Deep neural support vector machines for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Estimating confidence scores on ASR results using recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Normalization of ASR confidence classifier scores via confidence mapping.
Proceedings of the INTERSPEECH 2014, 2014

Multi-accent deep neural network acoustic model with accent-specific top layer using the KLD-regularized model adaptation.
Proceedings of the INTERSPEECH 2014, 2014

A comparative analytic study on the Gaussian mixture and context dependent deep neural network hidden Markov models.
Proceedings of the INTERSPEECH 2014, 2014

2013
Semi-supervised GMM and DNN acoustic model training with multi-system combination and confidence re-calibration.
Proceedings of the INTERSPEECH 2013, 2013

Predicting speech recognition confidence using deep learning with word identity and score features.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A Feature Space Transformation Method for Personalization using Generalized I-Vector Clustering.
Proceedings of the INTERSPEECH 2012, 2012

2006
Large margin hidden Markov models for speech recognition.
IEEE Trans. Speech Audio Process., 2006

Recent Improvement on Maximum Relative Margin Estimation of HMMS for Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Discriminative Training of CDHMMs for Maximum Relative Separation Margin.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Large margin HMMs for speech recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Robust state clustering using phonetic decision trees.
Speech Commun., 2004

2000
Speaker change detection using minimum message length criterion.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
High accuracy acoustic modeling using two-level decision-tree based state-tying.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

High accuracy acoustic modeling based on multi-stage decision tree.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999


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