Vaibhava Goel

发表

Segmental minimum Bayes-risk ASR voting strategies

Vaibhava Goel, Shankar Kumar, William J. Byrne, 2000, INTERSPEECH.

Maximum likelihood nonlinear transformations based on deep neural networks

Xiaodong Cui, Vaibhava Goel, 2015, ICASSP.

RESCORING A DECISION

Vaibhava Goel, Sanjeev Khudanpur, William Byme, 1998 .

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

Vaibhava Goel, Pierre Dognin, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Advances in Very Deep Convolutional Neural Networks for LVCSR pdf

Vaibhava Goel, Tom Sercu, Tom Sercu, 2016, INTERSPEECH.

Discriminative estimation of subspace precision and mean (SPAM) models

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2003, INTERSPEECH.

Refactoring acoustic models using variational expectation-maximization

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, INTERSPEECH.

Audio and visual modality combination in speech processing applications

Vaibhava Goel, Gerasimos Potamianos, Youssef Mroueh, 2017, The Handbook of Multimodal-Multisensor Interfaces, Volume 1.

Affine invariant sparse maximum a posteriori adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices

Brian Kingsbury, Scott Axelrod, Vaibhava Goel, 2003, INTERSPEECH.

Refactoring acoustic models using variational density approximation

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

McGan: Mean and Covariance Feature Matching GAN pdf

Vaibhava Goel, Tom Sercu, Youssef Mroueh, 2017, ICML.

Data Augmentation for Deep Neural Network Acoustic Modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Vaibhava Goel, 2004, INTERSPEECH.

Front-end feature transforms with context filtering for speaker adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Vaibhava Goel, Gerasimos Potamianos, Stephen M. Chu, 2004, Interspeech.

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

Vaibhava Goel, Shankar Kumar, William J. Byrne, 2006, IEEE Trans. Speech Audio Process..

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model

Jing Huang, Brian Kingsbury, Vaibhava Goel, 2002, INTERSPEECH.

Active learning with minimum expected error for spoken language understanding

Vaibhava Goel, Hong-Kwang Jeff Kuo, H. Kuo, 2005, INTERSPEECH.

Discriminative training for full covariance models

Vaibhava Goel, Peder A. Olsen, Steven J. Rennie, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data augmentation for deep convolutional neural network acoustic modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Vaibhava Goel, Tom Sercu, Tom Sercu, 2016, ArXiv.

Efficient non-linear feature adaptation using Maxout networks

Xiaodong Cui, Vaibhava Goel, Steven J. Rennie, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recent advances in speech recognition system for IBM DARPA communicator

Michael Picheny, Vaibhava Goel, Hakan Erdogan, 2001, INTERSPEECH.

Syllable-a promising recognition unit for LVCSR

Vaibhava Goel, Katrin Kirchhoff, A. Ganapathiraju, 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

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

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2013, INTERSPEECH.

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

Vaibhava Goel, Ruhi Sarikaya, Yuqing Gao, 2005, INTERSPEECH.

On designing context sensitive language models for spoken dialog systems

Vaibhava Goel, Ramesh A. Gopinath, 2006, INTERSPEECH.

Scattering vs. discrete cosine transform features in visual speech processing

Vaibhava Goel, Gerasimos Potamianos, Etienne Marcheret, 2015, AVSP.

Co-Occuring Directions Sketching for Approximate Matrix Multiply

Vaibhava Goel, Youssef Mroueh, Etienne Marcheret, 2016, AISTATS 2016.

Self-Critical Sequence Training for Image Captioning

Vaibhava Goel, Youssef Mroueh, Jerret Ross, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Order Statistic Networks

Vaibhava Goel, Samuel Thomas, Steven J. Rennie, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Structuring linear transforms for adaptation using training time information

Vaibhava Goel, Ramesh A. Gopinath, Karthik Visweswariah, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

Vaibhava Goel, Peder A. Olsen, Etienne Marcheret, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Minimum Bayes-risk automatic speech recognition

Vaibhava Goel, William J. Byrne, W. Byrne, 2000, Comput. Speech Lang..

Deep multimodal learning for Audio-Visual Speech Recognition

Vaibhava Goel, Youssef Mroueh, Etienne Marcheret, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Confidence based lattice segmentation and minimum Bayes-risk decoding

Vaibhava Goel, Shankar Kumar, William J. Byrne, 2001, INTERSPEECH.

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

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Unsupervised Adaptation of Question Answering Systems via Generative Self-training

Vaibhava Goel, David Nahamoo, Steven J. Rennie, 2020, EMNLP.

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

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Vaibhava Goel, Ramesh A. Gopinath, Karthik Visweswariah, 2004, INTERSPEECH.

Minimum Bayes-Risk Methods in Automatic Speech Recognition

Vaibhava Goel, William Byrne† Ibm, 2003 .

Toward domain-independent conversational speech recognition

Geoffrey Zweig, Brian Kingsbury, George Saon, 2003, INTERSPEECH.

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Regularized feature-space discriminative adaptation for robust ASR

Masafumi Nishimura, Vaibhava Goel, Osamu Ichikawa, 2014, INTERSPEECH.

Embedding-Based Speaker Adaptive Training of Deep Neural Networks pdf

Xiaodong Cui, George Saon, Vaibhava Goel, 2017, INTERSPEECH.

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

Vaibhava Goel, Petr Fousek, Pierre L. Dognin, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Xiang Li, Cheng Wu, Vaibhava Goel, 2005, INTERSPEECH.

Random Maxout Features pdf

Vaibhava Goel, Youssef Mroueh, Steven J. Rennie, 2015, ArXiv.

Sparse Maximum A Posteriori adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Trends and advances in speech recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2011, IBM J. Res. Dev..

Annealed dropout trained maxout networks for improved LVCSR

Xiaodong Cui, Vaibhava Goel, Pierre L. Dognin, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping

Xiaodong Cui, George Saon, Vaibhava Goel, 2012, INTERSPEECH.

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

Vaibhava Goel, Peder A. Olsen, Ramesh A. Gopinath, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Segmental minimum Bayes-risk decoding for automatic speech recognition

Vaibhava Goel, Shankar Kumar, William J. Byrne, 2004, IEEE Transactions on Speech and Audio Processing.

Noisy objective functions based on the f-divergence

Hermann Ney, Vaibhava Goel, Ralf Schlüter, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks

Xiaodong Cui, Vaibhava Goel, Vaibhava Goel, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Adaptive stereo-based stochastic mapping

Xiaodong Cui, Vaibhava Goel, Shay Maymon, 2013, INTERSPEECH.

Stochastic gradient adaptation of front-end parameters

Vaibhava Goel, Karthik Visweswariah, Sreeram Balakrishnan, 2004, INTERSPEECH.

Exemplar-based Sparse Representation phone identification features

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic modeling using exponential families

Vaibhava Goel, Peder A. Olsen, 2009, INTERSPEECH.

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units

Bhuvana Ramabhadran, Vaibhava Goel, Jia Cui, 2016, INTERSPEECH.

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

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2010, INTERSPEECH.

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

Vaibhava Goel, Jirí Navrátil, Om Deshmukh, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Annealed dropout training of deep networks

Vaibhava Goel, Samuel Thomas, Steven J. Rennie, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

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

Hermann Ney, Vaibhava Goel, Ralf Schlüter, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data Augmentation for deep neural network acoustic modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval

Vaibhava Goel, Youssef Mroueh, Etienne Marcheret, 2015 .

Rapid adaptation with linear combinations of rank-one matrices

Vaibhava Goel, Ramesh A. Gopinath, Karthik Visweswariah, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

LVCSR rescoring with modified loss functions: a decision theoretic perspective

Vaibhava Goel, William J. Byrne, Sanjeev Khudanpur, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Restructuring exponential family mixture models

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2010, INTERSPEECH.

Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation

Vaibhava Goel, Danning Jiang, Yong Qin, 2012, INTERSPEECH.

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

Vaibhava Goel, Youssef Mroueh, Etienne Marcheret, 2015, ArXiv.

Modeling posterior probabilities using the linear exponential family

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2010, INTERSPEECH.

Language model estimation for optimizing end-to-end performance of a natural language call routing system

Cheng Wu, Vaibhava Goel, Hong-Kwang Jeff Kuo, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Direct product based deep belief networks for automatic speech recognition

Vaibhava Goel, Petr Fousek, Pierre L. Dognin, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Restoration of clipped signals with application to speech recognition

Vaibhava Goel, Shay Maymon, Etienne Marcheret, 2013, INTERSPEECH.

Deep Scattering Spectrum with deep neural networks

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reduction of acoustic model training time and required data passes via stochastic approaches to maximum likelihood and discriminative training

Vaibhava Goel, Petr Novák, Antonio Lee, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compacting discriminative feature space transforms for embedded devices

Vaibhava Goel, Peder A. Olsen, Petr Fousek, 2009, INTERSPEECH.

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

Vaibhava Goel, William J. Byrne, 1999, EUROSPEECH.

Subspace constrained Gaussian mixture models for speech recognition

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2005, IEEE Transactions on Speech and Audio Processing.

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

Vaibhava Goel, Etienne Marcheret, Theodoros Tsiligkaridis, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

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

Vaibhava Goel, Hong-Kwang Jeff Kuo, H. Kuo, 2007, INTERSPEECH.

Detecting audio-visual synchrony using deep neural networks

Vaibhava Goel, Gerasimos Potamianos, Etienne Marcheret, 2015, INTERSPEECH.

CNNBiF: CNN-based Bigram Features for Named Entity Recognition

Vaibhava Goel, David Nahamoo, Etienne Marcheret, 2021, EMNLP.

Deep multimodal learning for Audio-Visual Speech Recognition

Vaibhava Goel, Youssef Mroueh, Etienne Marcheret, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Speech Recognition Solution to an Ancient Cryptography Problem

Vaibhava Goel, John R. Hershey, Peder Andreas Olsen, 2011 .