Vaibhava Goel

According to our database1, Vaibhava Goel authored at least 84 papers between 1995 and 2021.

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

Timeline

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Bibliography

2021
CNNBiF: CNN-based Bigram Features for Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Unsupervised Adaptation of Question Answering Systems via Generative Self-training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2017
Embedding-Based Speaker Adaptive Training of Deep Neural Networks.
Proceedings of the Interspeech 2017, 2017

McGan: Mean and Covariance Feature Matching GAN.
Proceedings of the 34th International Conference on Machine Learning, 2017

Noisy objective functions based on the f-divergence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Self-Critical Sequence Training for Image Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Co-Occurring Directions Sketching for Approximate Matrix Multiply.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Audio and visual modality combination in speech processing applications.
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2017

2016
Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition.
CoRR, 2016

Co-Occuring Directions Sketching for Approximate Matrix Multiply.
CoRR, 2016

Advances in Very Deep Convolutional Neural Networks for LVCSR.
Proceedings of the Interspeech 2016, 2016

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units.
Proceedings of the Interspeech 2016, 2016

Efficient non-linear feature adaptation using Maxout networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Data Augmentation for Deep Neural Network Acoustic Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Random Maxout Features.
CoRR, 2015

Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis.
CoRR, 2015

Detecting audio-visual synchrony using deep neural networks.
Proceedings of the INTERSPEECH 2015, 2015

Annealed dropout trained maxout networks for improved LVCSR.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Deep multimodal learning for Audio-Visual Speech Recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Data augmentation for deep convolutional neural network acoustic modeling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Scattering vs. discrete cosine transform features in visual speech processing.
Proceedings of the Auditory-Visual Speech Processing, 2015

2014
Annealed dropout training of deep networks.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Deep Order Statistic Networks.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Regularized feature-space discriminative adaptation for robust ASR.
Proceedings of the INTERSPEECH 2014, 2014

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program.
Proceedings of the INTERSPEECH 2014, 2014

Deep Scattering Spectrum with deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

A family of discriminative training criteria based on the F-divergence for deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Reduction of acoustic model training time and required data passes via stochastic approaches to maximum likelihood and discriminative training.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation.
IEEE Trans. Speech Audio Process., 2013

Restoration of clipped signals with application to speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Adaptive stereo-based stochastic mapping.
Proceedings of the INTERSPEECH 2013, 2013

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora.
Proceedings of the IEEE International Conference on Acoustics, 2013

Direct product based deep belief networks for automatic speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation.
Proceedings of the INTERSPEECH 2012, 2012

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping.
Proceedings of the INTERSPEECH 2012, 2012

Affine invariant sparse maximum a posteriori adaptation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A framework for unsupervised transfer learning and application to dialog decision classification.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Trends and advances in speech recognition.
IBM J. Res. Dev., 2011

Exemplar-based Sparse Representation phone identification features.
Proceedings of the IEEE International Conference on Acoustics, 2011

Discriminative training for full covariance models.
Proceedings of the IEEE International Conference on Acoustics, 2011

Front-end feature transforms with context filtering for speaker adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparse Maximum A Posteriori adaptation.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Modeling posterior probabilities using the linear exponential family.
Proceedings of the INTERSPEECH 2010, 2010

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families.
Proceedings of the INTERSPEECH 2010, 2010

Restructuring exponential family mixture models.
Proceedings of the INTERSPEECH 2010, 2010

2009
Compacting discriminative feature space transforms for embedded devices.
Proceedings of the INTERSPEECH 2009, 2009

Acoustic modeling using exponential families.
Proceedings of the INTERSPEECH 2009, 2009

Refactoring acoustic models using variational expectation-maximization.
Proceedings of the INTERSPEECH 2009, 2009

Refactoring acoustic models using variational density approximation.
Proceedings of the IEEE International Conference on Acoustics, 2009

A fast, accurate approximation to log likelihood of Gaussian mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2009

Optimal quantization and bit allocation for compressing large discriminative feature space transforms.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Optimizing speech recognition grammars using a measure of similarity between hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition.
IEEE Trans. Speech Audio Process., 2007

A data visualization and analysis method for natural language call routing system design.
Proceedings of the INTERSPEECH 2007, 2007

2006
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition".
IEEE Trans. Speech Audio Process., 2006

On designing context sensitive language models for spoken dialog systems.
Proceedings of the INTERSPEECH 2006, 2006

2005
Subspace constrained Gaussian mixture models for speech recognition.
IEEE Trans. Speech Audio Process., 2005

Improving end-to-end performance of call classification through data confusion reduction and model tolerance enhancement.
Proceedings of the INTERSPEECH 2005, 2005

Exploiting unlabeled data using multiple classifiers for improved natural language call-routing.
Proceedings of the INTERSPEECH 2005, 2005

Active learning with minimum expected error for spoken language understanding.
Proceedings of the INTERSPEECH 2005, 2005

Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Segmental minimum Bayes-risk decoding for automatic speech recognition.
IEEE Trans. Speech Audio Process., 2004

Task adaptation of acoustic and language models based on large quantities of data.
Proceedings of the INTERSPEECH 2004, 2004

Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition.
Proceedings of the INTERSPEECH 2004, 2004

Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars.
Proceedings of the INTERSPEECH 2004, 2004

Stochastic gradient adaptation of front-end parameters.
Proceedings of the INTERSPEECH 2004, 2004

2003
Toward domain-independent conversational speech recognition.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Discriminative estimation of subspace precision and mean (SPAM) models.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Structuring linear transforms for adaptation using training time information.
Proceedings of the IEEE International Conference on Acoustics, 2002

Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model.
Proceedings of the IEEE International Conference on Acoustics, 2002

Rapid adaptation with linear combinations of rank-one matrices.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Confidence based lattice segmentation and minimum Bayes-risk decoding.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Recent advances in speech recognition system for IBM DARPA communicator.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000
Minimum Bayes-risk automatic speech recognition.
Comput. Speech Lang., 2000

Segmental minimum Bayes-risk ASR voting strategies.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Task dependent loss functions in speech recognition: a* search over recognition lattices.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998
LVCSR rescoring with modified loss functions: a decision theoretic perspective.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1995
Quantification of injury-related EEG signal changes using Itakura distance measure.
Proceedings of the 1995 International Conference on Acoustics, 1995


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