Quantification of injury-related EEG signal changes using Itakura distance measure. - Xuan Kong; Vaibhava Goel; Nitish V. Thakor (ICASSP, 1995)

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)

LVCSR rescoring with modified loss functions: a decision theoretic perspective. - Vaibhava Goel; William Byrne; Sanjeev Khudanpur (ICASSP, 1998)

Task dependent loss functions in speech recognition: a* search over recognition lattices. - Vaibhava Goel; William Byrne (EUROSPEECH, 1999)

Segmental minimum Bayes-risk ASR voting strategies. - Vaibhava Goel; Shankar Kumar; William Byrne (INTERSPEECH, 2000)

Minimum Bayes-risk automatic speech recognition. - Vaibhava Goel; William J. Byrne (Comput. Speech Lang., 2000)

Recent advances in speech recognition system for IBM DARPA communicator. - Yuqing Gao; Hakan Erdogan; Yongxin Li; Vaibhava Goel; Michael Picheny (INTERSPEECH, 2001)

Confidence based lattice segmentation and minimum Bayes-risk decoding. - Vaibhava Goel; Shankar Kumar; William Byrne (INTERSPEECH, 2001)

Rapid adaptation with linear combinations of rank-one matrices. - Vaibhava Goel; Karthik Visweswariah; Ramesh Gopinath (ICASSP, 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 (ICASSP, 2002)

Structuring linear transforms for adaptation using training time information. - Karthik Visweswariah; Vaibhava Goel; Ramesh Gopinath (ICASSP, 2002)

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. - Jing Huang 019; Vaibhava Goel; Ramesh Gopinath; Brian Kingsbury; Peder A. Olsen; Karthik Visweswariah (INTERSPEECH, 2002)

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. - Scott Axelrod; Vaibhava Goel; Brian Kingsbury; Karthik Visweswariah; Ramesh A. Gopinath (INTERSPEECH, 2003)

Discriminative estimation of subspace precision and mean (SPAM) models. - Vaibhava Goel; Scott Axelrod; Ramesh A. Gopinath; Peder A. Olsen; Karthik Visweswariah (INTERSPEECH, 2003)

Toward domain-independent conversational speech recognition. - Brian Kingsbury; Lidia Mangu; George Saon; Geoffrey Zweig; Scott Axelrod; Vaibhava Goel; Karthik Visweswariah; Michael Picheny (INTERSPEECH, 2003)

Stochastic gradient adaptation of front-end parameters. - Sreeram Balakrishnan; Karthik Visweswariah; Vaibhava Goel (INTERSPEECH, 2004)

Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars. - Vaibhava Goel (INTERSPEECH, 2004)

Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition. - Etienne Marcheret; Stephen M. Chu; Vaibhava Goel; Gerasimos Potamianos (INTERSPEECH, 2004)

Task adaptation of acoustic and language models based on large quantities of data. - Karthik Visweswariah; Ramesh A. Gopinath; Vaibhava Goel (INTERSPEECH, 2004)

Segmental minimum Bayes-risk decoding for automatic speech recognition. - Vaibhava Goel; Shankar Kumar; William Byrne (IEEE Trans. Speech Audio Process., 2004)

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 (ICASSP (1), 2005)

Active learning with minimum expected error for spoken language understanding. - Hong-Kwang Jeff Kuo; Vaibhava Goel (INTERSPEECH, 2005)

Exploiting unlabeled data using multiple classifiers for improved natural language call-routing. - Ruhi Sarikaya; Hong-Kwang Jeff Kuo; Vaibhava Goel; Yuqing Gao (INTERSPEECH, 2005)

Improving end-to-end performance of call classification through data confusion reduction and model tolerance enhancement. - Cheng Wu; Xiang Li 071; Hong-Kwang Jeff Kuo; E. E. Jan; Vaibhava Goel; David M. Lubensky (INTERSPEECH, 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)

On designing context sensitive language models for spoken dialog systems. - Vaibhava Goel; Ramesh A. Gopinath (INTERSPEECH, 2006)

Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". - Vaibhava Goel; Shankar Kumar; William Byrne (IEEE Trans. Speech Audio Process., 2006)

A data visualization and analysis method for natural language call routing system design. - Hong-Kwang Jeff Kuo; Vaibhava Goel (INTERSPEECH, 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)

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 (ICASSP, 2008)

Optimal quantization and bit allocation for compressing large discriminative feature space transforms. - Etienne Marcheret; Vaibhava Goel; Peder A. Olsen (ASRU, 2009)

A fast, accurate approximation to log likelihood of Gaussian mixture models. - Pierre L. Dognin; Vaibhava Goel; John R. Hershey; Peder A. Olsen (ICASSP, 2009)

Refactoring acoustic models using variational density approximation. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (ICASSP, 2009)

Refactoring acoustic models using variational expectation-maximization. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (INTERSPEECH, 2009)

Acoustic modeling using exponential families. - Vaibhava Goel; Peder A. Olsen (INTERSPEECH, 2009)

Compacting discriminative feature space transforms for embedded devices. - Etienne Marcheret; Jia-Yu Chen; Petr Fousek; Peder A. Olsen; Vaibhava Goel (INTERSPEECH, 2009)

Restructuring exponential family mixture models. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (INTERSPEECH, 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 (INTERSPEECH, 2010)

Modeling posterior probabilities using the linear exponential family. - Peder A. Olsen; Vaibhava Goel; Charles A. Micchelli; John R. Hershey (INTERSPEECH, 2010)

Sparse Maximum A Posteriori adaptation. - Peder A. Olsen; Jing Huang 019; Vaibhava Goel; Steven J. Rennie (ASRU, 2011)

Front-end feature transforms with context filtering for speaker adaptation. - Jing Huang 019; Karthik Visweswariah; Peder A. Olsen; Vaibhava Goel (ICASSP, 2011)

Discriminative training for full covariance models. - Peder A. Olsen; Vaibhava Goel; Steven J. Rennie (ICASSP, 2011)

Exemplar-based Sparse Representation phone identification features. - Tara N. Sainath; David Nahamoo; Bhuvana Ramabhadran; Dimitri Kanevsky; Vaibhava Goel; Parikshit M. Shah (ICASSP, 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)

A framework for unsupervised transfer learning and application to dialog decision classification. - Etienne Marcheret; Om D. Deshmukh; Vaibhava Goel; Jirí Navrátil 001 (ICASSP, 2012)

Affine invariant sparse maximum a posteriori adaptation. - Peder A. Olsen; Jing Huang 019; Steven J. Rennie; Vaibhava Goel (ICASSP, 2012)

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. - Xiaodong Cui; Mohamed Afify; George Saon; Vaibhava Goel (INTERSPEECH, 2012)

Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation. - Danning Jiang; Dimitri Kanevsky; Vaibhava Goel; Yong Qin (INTERSPEECH, 2012)

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. - Pierre L. Dognin; Vaibhava Goel (ASRU, 2013)

Direct product based deep belief networks for automatic speech recognition. - Petr Fousek; Steven J. Rennie; Pierre L. Dognin; Vaibhava Goel (ICASSP, 2013)

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora. - Jing Huang 019; Peder A. Olsen; Vaibhava Goel (ICASSP, 2013)

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (INTERSPEECH, 2013)

Adaptive stereo-based stochastic mapping. - Shay Maymon; Pierre L. Dognin; Xiaodong Cui; Vaibhava Goel (INTERSPEECH, 2013)

Restoration of clipped signals with application to speech recognition. - Shay Maymon; Etienne Marcheret; Vaibhava Goel (INTERSPEECH, 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)

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 (ICASSP, 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 (ICASSP, 2014)

Deep Scattering Spectrum with deep neural networks. - Vijayaditya Peddinti; Tara N. Sainath; Shay Maymon; Bhuvana Ramabhadran; David Nahamoo; Vaibhava Goel (ICASSP, 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 (INTERSPEECH, 2014)

Regularized feature-space discriminative adaptation for robust ASR. - Takashi Fukuda; Osamu Ichikawa; Masafumi Nishimura; Steven J. Rennie; Vaibhava Goel (INTERSPEECH, 2014)

Deep Order Statistic Networks. - Steven J. Rennie; Vaibhava Goel; Samuel Thomas 001 (SLT, 2014)

Annealed dropout training of deep networks. - Steven J. Rennie; Vaibhava Goel; Samuel Thomas 001 (SLT, 2014)

Scattering vs. discrete cosine transform features in visual speech processing. - Etienne Marcheret; Gerasimos Potamianos; Josef Vopicka; Vaibhava Goel (AVSP, 2015)

Data augmentation for deep convolutional neural network acoustic modeling. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (ICASSP, 2015)

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. - Petr Fousek; Pierre L. Dognin; Vaibhava Goel (ICASSP, 2015)

Deep multimodal learning for Audio-Visual Speech Recognition. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (ICASSP, 2015)

Annealed dropout trained maxout networks for improved LVCSR. - Steven J. Rennie; Pierre L. Dognin; Xiaodong Cui; Vaibhava Goel (ICASSP, 2015)

Detecting audio-visual synchrony using deep neural networks. - Etienne Marcheret; Gerasimos Potamianos; Josef Vopicka; Vaibhava Goel (INTERSPEECH, 2015)

Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (CoRR, 2015)

Random Maxout Features. - Youssef Mroueh; Steven J. Rennie; Vaibhava Goel (CoRR, 2015)

Data Augmentation for Deep Neural Network Acoustic Modeling. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Efficient non-linear feature adaptation using Maxout networks. - Steven J. Rennie; Xiaodong Cui; Vaibhava Goel (ICASSP, 2016)

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units. - Markus Nußbaum-Thom; Jia Cui; Bhuvana Ramabhadran; Vaibhava Goel (INTERSPEECH, 2016)

Advances in Very Deep Convolutional Neural Networks for LVCSR. - Tom Sercu; Vaibhava Goel (INTERSPEECH, 2016)

Co-Occuring Directions Sketching for Approximate Matrix Multiply. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (CoRR, 2016)

Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition. - Tom Sercu; Vaibhava Goel (CoRR, 2016)

Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks. - Xiaodong Cui; Vaibhava Goel (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Audio and visual modality combination in speech processing applications. - Gerasimos Potamianos; Etienne Marcheret; Youssef Mroueh; Vaibhava Goel; Alexandros Koumbaroulis; Argyrios Vartholomaios; Spyridon Thermos (The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1), 2017)

Co-Occurring Directions Sketching for Approximate Matrix Multiply. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (AISTATS, 2017)

Self-Critical Sequence Training for Image Captioning. - Steven J. Rennie; Etienne Marcheret; Youssef Mroueh; Jerret Ross; Vaibhava Goel (CVPR, 2017)

Noisy objective functions based on the f-divergence. - Markus Nußbaum-Thom; Ralf Schlüter; Vaibhava Goel; Hermann Ney (ICASSP, 2017)

McGan: Mean and Covariance Feature Matching GAN. - Youssef Mroueh; Tom Sercu; Vaibhava Goel (ICML, 2017)

Embedding-Based Speaker Adaptive Training of Deep Neural Networks. - Xiaodong Cui; Vaibhava Goel; George Saon (INTERSPEECH, 2017)

Unsupervised Adaptation of Question Answering Systems via Generative Self-training. - Steven J. Rennie; Etienne Marcheret; Neil Mallinar; David Nahamoo; Vaibhava Goel (EMNLP (1), 2020)

CNNBiF: CNN-based Bigram Features for Named Entity Recognition. - Chul Sung; Vaibhava Goel; Etienne Marcheret; Steven J. Rennie; David Nahamoo (EMNLP (Findings), 2021)