Erik McDermott

According to our database1, Erik McDermott authored at least 48 papers between 1990 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Sampled Connectionist Temporal Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow.
Proceedings of the Interspeech 2017, 2017


2015
A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Sequence discriminative distributed training of long short-term memory recurrent neural networks.
Proceedings of the INTERSPEECH 2014, 2014

Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data.
Proceedings of the INTERSPEECH 2014, 2014

Deep neural networks for small footprint text-dependent speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2014

Asynchronous stochastic optimization for sequence training of deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
An integrated framework for "margin" based sequential discriminative training over lattices based on differenced maximum mutual information (dMMI).
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

2010
A Sequential Pattern Classifier Based on Hidden Markov Kernel Machine and Its Application to Phoneme Classification.
J. Sel. Topics Signal Processing, 2010

Minimum Error Classification with geometric margin control.
Proceedings of the IEEE International Conference on Acoustics, 2010

A discriminative model for continuous speech recognition based on Weighted Finite State Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2010

Discriminative training based on an integrated view of MPE and MMI in margin and error space.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Margin-space integration of MPE loss via differencing of MMI functionals for generalized error-weighted discriminative training.
Proceedings of the INTERSPEECH 2009, 2009

A unified view for discriminative objective functions based on negative exponential of difference measure between strings.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Flexible discriminative training based on equal error group scores obtained from an error-indexed forward-backward algorithm.
Proceedings of the INTERSPEECH 2008, 2008

2007
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error.
IEEE Trans. Audio, Speech & Language Processing, 2007

Inverting mappings from smooth paths through Rn to paths through Rm: A technique applied to recovering articulation from acoustics.
Speech Communication, 2007

String and lattice based discriminative training for the corpus of spontaneous Japanese lecture transcription task.
Proceedings of the INTERSPEECH 2007, 2007

Discriminative MCE-based speaker adaptation of acoustic models for a spoken lecture processing task.
Proceedings of the INTERSPEECH 2007, 2007

2006
Production-Oriented Models for Speech Recognition.
IEICE Transactions, 2006

Discriminative training via minimization of risk estimates based on Parzen smoothing.
Appl. Intell., 2006

Training Conditional Random Fields with Multivariate Evaluation Measures.
Proceedings of the ACL 2006, 2006

2005
Optimization methods for discriminative training.
Proceedings of the INTERSPEECH 2005, 2005

Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation.
Computer Speech & Language, 2004

A theoretical analysis of speech recognition based on feature trajectory models.
Proceedings of the INTERSPEECH 2004, 2004

Minimum classification error training of landmark models for real-time continuous speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Blind inversion of multidimensional functions for speech enhancement.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Pervasive unsupervised adaptation for lecture speech transcription.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Recognition method with parametric trajectory generated from mixture distribution HMMs.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A new formalization of minimum classification error using a Parzen estimate of classification chance.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Classification error from the theoretical Bayes classification risk.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
An application of discriminative feature extraction to filter-bank-based speech recognition.
IEEE Trans. Speech and Audio Processing, 2001

Time and memory efficient viterbi decoding for LVCSR using a precompiled search network.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000
Discriminative training for large vocabulary telephone-based name recognition.
Proceedings of the IEEE International Conference on Acoustics, 2000

1998
Computer-based second language production training by using spectrographic representation and HMM-based speech recognition scores.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

1997
String-level MCE for continuous phoneme recognition.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Efficient normalization based upon GPD [generalized probabilistic descent].
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
A discriminative filter bank model for speech recognition.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

1994
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units.
Computer Speech & Language, 1994

Prototype-based minimum error training for speech recognition.
Appl. Intell., 1994

1991
LVQ-based shift-tolerant phoneme recognition.
IEEE Trans. Signal Processing, 1991

1990
On the robustness of HMM and ANN speech recognition algorithms.
Proceedings of the First International Conference on Spoken Language Processing, 1990


  Loading...