Vaibhava Goel

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 17

Top Topics

Maximum Likelihood

Canonical Correlation Analysis

Discriminative Training

Top Venues

Publications

Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven J. Rennie, David Nahamoo
CNNBiF: CNN-based Bigram Features for Named Entity Recognition. EMNLP (Findings) (2021)
Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel
Unsupervised Adaptation of Question Answering Systems via Generative Self-training. EMNLP (1) (2020)
Youssef Mroueh, Tom Sercu, Vaibhava Goel
McGan: Mean and Covariance Feature Matching GAN. CoRR (2017)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS (2017)
Xiaodong Cui, Vaibhava Goel, George Saon
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. INTERSPEECH (2017)
Xiaodong Cui, Vaibhava Goel, George Saon
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. CoRR (2017)
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
Self-Critical Sequence Training for Image Captioning. CVPR (2017)
Youssef Mroueh, Tom Sercu, Vaibhava Goel
McGan: Mean and Covariance Feature Matching GAN. ICML (2017)
Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney
Noisy objective functions based on the f-divergence. ICASSP (2017)
Tom Sercu, Vaibhava Goel
Advances in Very Deep Convolutional Neural Networks for LVCSR. INTERSPEECH (2016)
Markus Nußbaum-Thom, Jia Cui, Bhuvana Ramabhadran, Vaibhava Goel
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units. INTERSPEECH (2016)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR (2016)
Tom Sercu, Vaibhava Goel
Advances in Very Deep Convolutional Neural Networks for LVCSR. CoRR (2016)
Tom Sercu, Vaibhava Goel
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition. CoRR (2016)
Xiaodong Cui, Vaibhava Goel
Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 24 (11) (2016)
Steven J. Rennie, Xiaodong Cui, Vaibhava Goel
Efficient non-linear feature adaptation using Maxout networks. ICASSP (2016)
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
Self-critical Sequence Training for Image Captioning. CoRR (2016)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data augmentation for deep convolutional neural network acoustic modeling. ICASSP (2015)
Petr Fousek, Pierre L. Dognin, Vaibhava Goel
Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. ICASSP (2015)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR (2015)
Xiaodong Cui, Vaibhava Goel
Maximum likelihood nonlinear transformations based on deep neural networks. ICASSP (2015)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR (2015)
Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel
Detecting audio-visual synchrony using deep neural networks. INTERSPEECH (2015)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23 (9) (2015)
Youssef Mroueh, Steven J. Rennie, Vaibhava Goel
Random Maxout Features. CoRR (2015)
Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
Annealed dropout trained maxout networks for improved LVCSR. ICASSP (2015)
Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel
Scattering vs. discrete cosine transform features in visual speech processing. AVSP (2015)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP (2015)
Takashi Fukuda, Osamu Ichikawa, Masafumi Nishimura, Steven J. Rennie, Vaibhava Goel
Regularized feature-space discriminative adaptation for robust ASR. INTERSPEECH (2014)
Markus Nußbaum-Thom, Xiaodong Cui, Ralf Schlüter, Vaibhava Goel, Hermann Ney
A family of discriminative training criteria based on the F-divergence for deep neural networks. ICASSP (2014)
Petr Novák, Roman Otec, Antonio Lee, Vaibhava Goel
Reduction of acoustic model training time and required data passes via stochastic approaches to maximum likelihood and discriminative training. ICASSP (2014)
Steven J. Rennie, Vaibhava Goel, Samuel Thomas
Annealed dropout training of deep networks. SLT (2014)
Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel
Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. INTERSPEECH (2014)
Vijayaditya Peddinti, Tara N. Sainath, Shay Maymon, Bhuvana Ramabhadran, David Nahamoo, Vaibhava Goel
Deep Scattering Spectrum with deep neural networks. ICASSP (2014)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data Augmentation for deep neural network acoustic modeling. ICASSP (2014)
Steven J. Rennie, Vaibhava Goel, Samuel Thomas
Deep Order Statistic Networks. SLT (2014)
Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel
Direct product based deep belief networks for automatic speech recognition. ICASSP (2013)
Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
Adaptive stereo-based stochastic mapping. INTERSPEECH (2013)
Shay Maymon, Etienne Marcheret, Vaibhava Goel
Restoration of clipped signals with application to speech recognition. INTERSPEECH (2013)
Jing Huang, Peder A. Olsen, Vaibhava Goel
State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora. ICASSP (2013)
Pierre L. Dognin, Vaibhava Goel
Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. ASRU (2013)
Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation. IEEE Trans. Speech Audio Process. 21 (11) (2013)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. INTERSPEECH (2013)
Peder A. Olsen, Jing Huang, Steven J. Rennie, Vaibhava Goel
Affine invariant sparse maximum a posteriori adaptation. ICASSP (2012)
Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel
Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. INTERSPEECH (2012)
Etienne Marcheret, Om D. Deshmukh, Vaibhava Goel, Jirí Navrátil
A framework for unsupervised transfer learning and application to dialog decision classification. ICASSP (2012)
Danning Jiang, Dimitri Kanevsky, Vaibhava Goel, Yong Qin
Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation. INTERSPEECH (2012)
Michael Picheny, David Nahamoo, Vaibhava Goel, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon
Trends and advances in speech recognition. IBM J. Res. Dev. 55 (5) (2011)
Peder A. Olsen, Vaibhava Goel, Steven J. Rennie
Discriminative training for full covariance models. ICASSP (2011)
Peder A. Olsen, Jing Huang, Vaibhava Goel, Steven J. Rennie
Sparse Maximum A Posteriori adaptation. ASRU (2011)
Jing Huang, Karthik Visweswariah, Peder A. Olsen, Vaibhava Goel
Front-end feature transforms with context filtering for speaker adaptation. ICASSP (2011)
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, Vaibhava Goel, Parikshit M. Shah
Exemplar-based Sparse Representation phone identification features. ICASSP (2011)
Vaibhava Goel, Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, David Nahamoo, Dimitri Kanevsky
Incorporating sparse representation phone identification features in automatic speech recognition using exponential families. INTERSPEECH (2010)
Peder A. Olsen, Vaibhava Goel, Charles A. Micchelli, John R. Hershey
Modeling posterior probabilities using the linear exponential family. INTERSPEECH (2010)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Restructuring exponential family mixture models. INTERSPEECH (2010)
Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen
A fast, accurate approximation to log likelihood of Gaussian mixture models. ICASSP (2009)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Refactoring acoustic models using variational density approximation. ICASSP (2009)
Etienne Marcheret, Jia-Yu Chen, Petr Fousek, Peder A. Olsen, Vaibhava Goel
Compacting discriminative feature space transforms for embedded devices. INTERSPEECH (2009)
Etienne Marcheret, Vaibhava Goel, Peder A. Olsen
Optimal quantization and bit allocation for compressing large discriminative feature space transforms. ASRU (2009)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Refactoring acoustic models using variational expectation-maximization. INTERSPEECH (2009)
Vaibhava Goel, Peder A. Olsen
Acoustic modeling using exponential families. INTERSPEECH (2009)
Binit Mohanty, John R. Hershey, Peder A. Olsen, Suleyman Serdar Kozat, Vaibhava Goel
Optimizing speech recognition grammars using a measure of similarity between hidden Markov models. ICASSP (2008)
Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition. IEEE Trans. Speech Audio Process. 15 (1) (2007)
Hong-Kwang Jeff Kuo, Vaibhava Goel
A data visualization and analysis method for natural language call routing system design. INTERSPEECH (2007)
Vaibhava Goel, Ramesh A. Gopinath
On designing context sensitive language models for spoken dialog systems. INTERSPEECH (2006)
Vaibhava Goel, Shankar Kumar, William Byrne
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. 14 (1) (2006)
Hong-Kwang Jeff Kuo, Vaibhava Goel
Active learning with minimum expected error for spoken language understanding. INTERSPEECH (2005)
Cheng Wu, Xiang Li, Hong-Kwang Jeff Kuo, E. E. Jan, Vaibhava Goel, David M. Lubensky
Improving end-to-end performance of call classification through data confusion reduction and model tolerance enhancement. INTERSPEECH (2005)
Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
Subspace constrained Gaussian mixture models for speech recognition. IEEE Trans. Speech Audio Process. 13 (6) (2005)
Ruhi Sarikaya, Hong-Kwang Jeff Kuo, Vaibhava Goel, Yuqing Gao
Exploiting unlabeled data using multiple classifiers for improved natural language call-routing. INTERSPEECH (2005)
Vaibhava Goel, Hong-Kwang Kuo, Sabine Deligne, Cheng Wu
Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System. ICASSP (1) (2005)
Etienne Marcheret, Stephen M. Chu, Vaibhava Goel, Gerasimos Potamianos
Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition. INTERSPEECH (2004)
Karthik Visweswariah, Ramesh A. Gopinath, Vaibhava Goel
Task adaptation of acoustic and language models based on large quantities of data. INTERSPEECH (2004)
Vaibhava Goel, Shankar Kumar, William Byrne
Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. 12 (3) (2004)
Vaibhava Goel
Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars. INTERSPEECH (2004)
Sreeram Balakrishnan, Karthik Visweswariah, Vaibhava Goel
Stochastic gradient adaptation of front-end parameters. INTERSPEECH (2004)
Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny
Toward domain-independent conversational speech recognition. INTERSPEECH (2003)
Scott Axelrod, Vaibhava Goel, Brian Kingsbury, Karthik Visweswariah, Ramesh A. Gopinath
Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. INTERSPEECH (2003)
Vaibhava Goel, Scott Axelrod, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
Discriminative estimation of subspace precision and mean (SPAM) models. INTERSPEECH (2003)
Karthik Visweswariah, Vaibhava Goel, Ramesh Gopinath
Structuring linear transforms for adaptation using training time information. ICASSP (2002)
Ramesh Gopinath, Vaibhava Goel, Karthik Visweswariah, Peder A. Olsen
Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model. ICASSP (2002)
Vaibhava Goel, Karthik Visweswariah, Ramesh Gopinath
Rapid adaptation with linear combinations of rank-one matrices. ICASSP (2002)
Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah
Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. INTERSPEECH (2002)
Vaibhava Goel, Shankar Kumar, William Byrne
Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH (2001)
Yuqing Gao, Hakan Erdogan, Yongxin Li, Vaibhava Goel, Michael Picheny
Recent advances in speech recognition system for IBM DARPA communicator. INTERSPEECH (2001)
Vaibhava Goel, Shankar Kumar, William Byrne
Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH (2000)
Vaibhava Goel, William J. Byrne
Minimum Bayes-risk automatic speech recognition. Comput. Speech Lang. 14 (2) (2000)
Vaibhava Goel, William Byrne
Task dependent loss functions in speech recognition: a* search over recognition lattices. EUROSPEECH (1999)
Vaibhava Goel, William Byrne, Sanjeev Khudanpur
LVCSR rescoring with modified loss functions: a decision theoretic perspective. ICASSP (1998)
Xuan Kong, Vaibhava Goel, Nitish V. Thakor
Quantification of injury-related EEG signal changes using Itakura distance measure. ICASSP (1995)