Vaibhava Goel

According to our database, Vaibhava Goel authored at least 85 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

CNNBiF: CNN-based Bigram Features for Named Entity Recognition.

Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven J. Rennie, David Nahamoo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Unsupervised Adaptation of Question Answering Systems via Generative Self-training.

Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2017

Embedding-Based Speaker Adaptive Training of Deep Neural Networks.

Xiaodong Cui, Vaibhava Goel, George Saon

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

McGan: Mean and Covariance Feature Matching GAN.

Youssef Mroueh, Tom Sercu, Vaibhava Goel

Proceedings of the 34th International Conference on Machine Learning, 2017

Noisy objective functions based on the f-divergence.

Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Self-Critical Sequence Training for Image Captioning.

Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Co-Occurring Directions Sketching for Approximate Matrix Multiply.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Audio and visual modality combination in speech processing applications.

Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos

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.

Xiaodong Cui, Vaibhava Goel

IEEE ACM Trans. Audio Speech Lang. Process., 2016

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

Tom Sercu, Vaibhava Goel

CoRR, 2016

Co-Occuring Directions Sketching for Approximate Matrix Multiply.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

CoRR, 2016

Advances in Very Deep Convolutional Neural Networks for LVCSR.

Tom Sercu, Vaibhava Goel

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units.

Markus Nußbaum-Thom, Jia Cui, Bhuvana Ramabhadran, Vaibhava Goel

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Efficient non-linear feature adaptation using Maxout networks.

Steven J. Rennie, Xiaodong Cui, Vaibhava Goel

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Data Augmentation for Deep Neural Network Acoustic Modeling.

Xiaodong Cui, Vaibhava Goel, Brian Kingsbury

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Random Maxout Features.

Youssef Mroueh, Steven J. Rennie, Vaibhava Goel

CoRR, 2015

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

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

CoRR, 2015

Detecting audio-visual synchrony using deep neural networks.

Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Annealed dropout trained maxout networks for improved LVCSR.

Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Deep multimodal learning for Audio-Visual Speech Recognition.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task.

Petr Fousek, Pierre L. Dognin, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Data augmentation for deep convolutional neural network acoustic modeling.

Xiaodong Cui, Vaibhava Goel, Brian Kingsbury

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Scattering vs. discrete cosine transform features in visual speech processing.

Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel

Proceedings of the Auditory-Visual Speech Processing, 2015

2014

Annealed dropout training of deep networks.

Steven J. Rennie, Vaibhava Goel, Samuel Thomas

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Deep Order Statistic Networks.

Steven J. Rennie, Vaibhava Goel, Samuel Thomas

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Regularized feature-space discriminative adaptation for robust ASR.

Takashi Fukuda, Osamu Ichikawa, Masafumi Nishimura, Steven J. Rennie, Vaibhava Goel

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program.

Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Deep Scattering Spectrum with deep neural networks.

Vijayaditya Peddinti, Tara N. Sainath, Shay Maymon, Bhuvana Ramabhadran, David Nahamoo, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2014

A family of discriminative training criteria based on the F-divergence for deep neural networks.

Markus Nußbaum-Thom, Xiaodong Cui, Ralf Schlüter, Vaibhava Goel, Hermann Ney

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.

Petr Novák, Roman Otec, Antonio Lee, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation.

Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel

IEEE Trans. Speech Audio Process., 2013

Restoration of clipped signals with application to speech recognition.

Shay Maymon, Etienne Marcheret, Vaibhava Goel

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Adaptive stereo-based stochastic mapping.

Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition.

Xiaodong Cui, Vaibhava Goel, Brian Kingsbury

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora.

Jing Huang, Peder A. Olsen, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2013

Direct product based deep belief networks for automatic speech recognition.

Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2013

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks.

Pierre L. Dognin, Vaibhava Goel

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.

Danning Jiang, Dimitri Kanevsky, Vaibhava Goel, Yong Qin

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping.

Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Affine invariant sparse maximum a posteriori adaptation.

Peder A. Olsen, Jing Huang, Steven J. Rennie, Vaibhava Goel

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A framework for unsupervised transfer learning and application to dialog decision classification.

Etienne Marcheret, Om D. Deshmukh, Vaibhava Goel, Jirí Navrátil

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Trends and advances in speech recognition.

Michael Picheny, David Nahamoo, Vaibhava Goel, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon

IBM J. Res. Dev., 2011

Exemplar-based Sparse Representation phone identification features.

Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, Vaibhava Goel, Parikshit M. Shah

Proceedings of the IEEE International Conference on Acoustics, 2011

Discriminative training for full covariance models.

Peder A. Olsen, Vaibhava Goel, Steven J. Rennie

Proceedings of the IEEE International Conference on Acoustics, 2011

Front-end feature transforms with context filtering for speaker adaptation.

Jing Huang, Karthik Visweswariah, Peder A. Olsen, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2011

Sparse Maximum A Posteriori adaptation.

Peder A. Olsen, Jing Huang, Vaibhava Goel, Steven J. Rennie

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

Modeling posterior probabilities using the linear exponential family.

Peder A. Olsen, Vaibhava Goel, Charles A. Micchelli, John R. Hershey

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families.

Vaibhava Goel, Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, David Nahamoo, Dimitri Kanevsky

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Restructuring exponential family mixture models.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

2009

Compacting discriminative feature space transforms for embedded devices.

Etienne Marcheret, Jia-Yu Chen, Petr Fousek, Peder A. Olsen, Vaibhava Goel

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Acoustic modeling using exponential families.

Vaibhava Goel, Peder A. Olsen

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Refactoring acoustic models using variational expectation-maximization.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Refactoring acoustic models using variational density approximation.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the IEEE International Conference on Acoustics, 2009

A fast, accurate approximation to log likelihood of Gaussian mixture models.

Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen

Proceedings of the IEEE International Conference on Acoustics, 2009

Optimal quantization and bit allocation for compressing large discriminative feature space transforms.

Etienne Marcheret, Vaibhava Goel, Peder A. Olsen

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.

Binit Mohanty, John R. Hershey, Peder A. Olsen, Suleyman Serdar Kozat, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition.

Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah

IEEE Trans. Speech Audio Process., 2007

A data visualization and analysis method for natural language call routing system design.

Hong-Kwang Jeff Kuo, Vaibhava Goel

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

2006

Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition".

Vaibhava Goel, Shankar Kumar, William Byrne

IEEE Trans. Speech Audio Process., 2006

On designing context sensitive language models for spoken dialog systems.

Vaibhava Goel, Ramesh A. Gopinath

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

2005

Subspace constrained Gaussian mixture models for speech recognition.

Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah

IEEE Trans. Speech Audio Process., 2005

Improving end-to-end performance of call classification through data confusion reduction and model tolerance enhancement.

Cheng Wu, Xiang Li, Hong-Kwang Jeff Kuo, E. E. Jan, Vaibhava Goel, David M. Lubensky

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Exploiting unlabeled data using multiple classifiers for improved natural language call-routing.

Ruhi Sarikaya, Hong-Kwang Jeff Kuo, Vaibhava Goel, Yuqing Gao

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Active learning with minimum expected error for spoken language understanding.

Hong-Kwang Jeff Kuo, Vaibhava Goel

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System.

Vaibhava Goel, Hong-Kwang Kuo, Sabine Deligne, Cheng Wu

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Segmental minimum Bayes-risk decoding for automatic speech recognition.

Vaibhava Goel, Shankar Kumar, William Byrne

IEEE Trans. Speech Audio Process., 2004

Task adaptation of acoustic and language models based on large quantities of data.

Karthik Visweswariah, Ramesh A. Gopinath, Vaibhava Goel

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition.

Etienne Marcheret, Stephen M. Chu, Vaibhava Goel, Gerasimos Potamianos

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars.

Vaibhava Goel

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Stochastic gradient adaptation of front-end parameters.

Sreeram Balakrishnan, Karthik Visweswariah, Vaibhava Goel

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

2003

Toward domain-independent conversational speech recognition.

Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Discriminative estimation of subspace precision and mean (SPAM) models.

Vaibhava Goel, Scott Axelrod, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah

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.

Scott Axelrod, Vaibhava Goel, Brian Kingsbury, Karthik Visweswariah, Ramesh A. Gopinath

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.

Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Structuring linear transforms for adaptation using training time information.

Karthik Visweswariah, Vaibhava Goel, Ramesh Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2002

Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model.

Ramesh Gopinath, Vaibhava Goel, Karthik Visweswariah, Peder A. Olsen

Proceedings of the IEEE International Conference on Acoustics, 2002

Rapid adaptation with linear combinations of rank-one matrices.

Vaibhava Goel, Karthik Visweswariah, Ramesh Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Confidence based lattice segmentation and minimum Bayes-risk decoding.

Vaibhava Goel, Shankar Kumar, William Byrne

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Recent advances in speech recognition system for IBM DARPA communicator.

Yuqing Gao, Hakan Erdogan, Yongxin Li, Vaibhava Goel, Michael Picheny

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000

Minimum Bayes-risk automatic speech recognition.

Vaibhava Goel, William J. Byrne

Comput. Speech Lang., 2000

Segmental minimum Bayes-risk ASR voting strategies.

Vaibhava Goel, Shankar Kumar, William Byrne

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999

Task dependent loss functions in speech recognition: a* search over recognition lattices.

Vaibhava Goel, William Byrne

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998

LVCSR rescoring with modified loss functions: a decision theoretic perspective.

Vaibhava Goel, William Byrne, Sanjeev Khudanpur

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1996

Dominant frequency analysis of EEG reveals brain's response during injury and recovery.

Vaibhava Goel, Ansgar Brambrink, Ahmet Baykal, Raymond C. Koehler, Daniel F. Hanley, Nitish V. Thakor

IEEE Trans. Biomed. Eng., 1996

1995

Quantification of injury-related EEG signal changes using Itakura distance measure.

Xuan Kong, Vaibhava Goel, Nitish V. Thakor

Proceedings of the 1995 International Conference on Acoustics, 1995