Vaibhava Goel - RankMe

92 papers A* 2A 34C 3Misc 26Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	CNNBiF: CNN-based Bigram Features for Named Entity Recognition. EMNLP (Findings) Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven J. Rennie, David Nahamoo
2020	—	`conf`	Unsupervised Adaptation of Question Answering Systems via Generative Self-training. EMNLP (1) Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel
2017	—	`ch.`	Audio and visual modality combination in speech processing applications. The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1) Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos
2017	A	`conf`	Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2017	A	`conf`	Embedding-Based Speaker Adaptive Training of Deep Neural Networks. INTERSPEECH Xiaodong Cui, Vaibhava Goel, George Saon
2017	J	`jnl`	Embedding-Based Speaker Adaptive Training of Deep Neural Networks. CoRR Xiaodong Cui, Vaibhava Goel, George Saon
2017	A*	`conf`	McGan: Mean and Covariance Feature Matching GAN. ICML Youssef Mroueh, Tom Sercu, Vaibhava Goel
2017	J	`jnl`	McGan: Mean and Covariance Feature Matching GAN. CoRR Youssef Mroueh, Tom Sercu, Vaibhava Goel
2017	Misc	`conf`	Noisy objective functions based on the f-divergence. ICASSP Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney
2017	A*	`conf`	Self-Critical Sequence Training for Image Captioning. CVPR Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
2016	A	`conf`	Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units. INTERSPEECH Markus Nußbaum-Thom, Jia Cui, Bhuvana Ramabhadran, Vaibhava Goel
2016	A	`conf`	Advances in Very Deep Convolutional Neural Networks for LVCSR. INTERSPEECH Tom Sercu, Vaibhava Goel
2016	J	`jnl`	Advances in Very Deep Convolutional Neural Networks for LVCSR. CoRR Tom Sercu, Vaibhava Goel
2016	J	`jnl`	Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2016	J	`jnl`	Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition. CoRR Tom Sercu, Vaibhava Goel
2016	Misc	`conf`	Efficient non-linear feature adaptation using Maxout networks. ICASSP Steven J. Rennie, Xiaodong Cui, Vaibhava Goel
2016	J	`jnl`	Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Vaibhava Goel
2016	J	`jnl`	Self-critical Sequence Training for Image Captioning. CoRR Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
2015	Misc	`conf`	Annealed dropout trained maxout networks for improved LVCSR. ICASSP Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
2015	J	`jnl`	Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2015	Misc	`conf`	Data augmentation for deep convolutional neural network acoustic modeling. ICASSP Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2015	J	`jnl`	Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	Misc	`conf`	Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	A	`conf`	Detecting audio-visual synchrony using deep neural networks. INTERSPEECH Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel
2015	Misc	`conf`	Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. ICASSP Petr Fousek, Pierre L. Dognin, Vaibhava Goel
2015	Misc	`conf`	Maximum likelihood nonlinear transformations based on deep neural networks. ICASSP Xiaodong Cui, Vaibhava Goel
2015	J	`jnl`	Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	J	`jnl`	Random Maxout Features. CoRR Youssef Mroueh, Steven J. Rennie, Vaibhava Goel
2015	—	`conf`	Scattering vs. discrete cosine transform features in visual speech processing. AVSP Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel
2014	Misc	`conf`	A family of discriminative training criteria based on the F-divergence for deep neural networks. ICASSP Markus Nußbaum-Thom, Xiaodong Cui, Ralf Schlüter, Vaibhava Goel, Hermann Ney
2014	—	`conf`	Annealed dropout training of deep networks. SLT Steven J. Rennie, Vaibhava Goel, Samuel Thomas
2014	Misc	`conf`	Data Augmentation for deep neural network acoustic modeling. ICASSP Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2014	—	`conf`	Deep Order Statistic Networks. SLT Steven J. Rennie, Vaibhava Goel, Samuel Thomas
2014	Misc	`conf`	Deep Scattering Spectrum with deep neural networks. ICASSP Vijayaditya Peddinti, Tara N. Sainath, Shay Maymon, Bhuvana Ramabhadran, David Nahamoo, Vaibhava Goel
2014	A	`conf`	Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. INTERSPEECH Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel
2014	Misc	`conf`	Reduction of acoustic model training time and required data passes via stochastic approaches to maximum likelihood and discriminative training. ICASSP Petr Novák, Roman Otec, Antonio Lee, Vaibhava Goel
2014	A	`conf`	Regularized feature-space discriminative adaptation for robust ASR. INTERSPEECH Takashi Fukuda, Osamu Ichikawa, Masafumi Nishimura, Steven J. Rennie, Vaibhava Goel
2013	J	`jnl`	A Difference of Convex Functions Approach to Large-Scale Log-Linear Model Estimation. IEEE Trans. Speech Audio Process. Theodoros Tsiligkaridis, Etienne Marcheret, Vaibhava Goel
2013	A	`conf`	Adaptive stereo-based stochastic mapping. INTERSPEECH Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
2013	C	`conf`	Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. ASRU Pierre L. Dognin, Vaibhava Goel
2013	Misc	`conf`	Direct product based deep belief networks for automatic speech recognition. ICASSP Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel
2013	A	`conf`	Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. INTERSPEECH Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2013	A	`conf`	Restoration of clipped signals with application to speech recognition. INTERSPEECH Shay Maymon, Etienne Marcheret, Vaibhava Goel
2013	Misc	`conf`	State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora. ICASSP Jing Huang, Peder A. Olsen, Vaibhava Goel
2012	Misc	`conf`	A framework for unsupervised transfer learning and application to dialog decision classification. ICASSP Etienne Marcheret, Om D. Deshmukh, Vaibhava Goel, Jirí Navrátil
2012	Misc	`conf`	Affine invariant sparse maximum a posteriori adaptation. ICASSP Peder A. Olsen, Jing Huang, Steven J. Rennie, Vaibhava Goel
2012	A	`conf`	Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation. INTERSPEECH Danning Jiang, Dimitri Kanevsky, Vaibhava Goel, Yong Qin
2012	A	`conf`	Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. INTERSPEECH Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel
2011	Misc	`conf`	Discriminative training for full covariance models. ICASSP Peder A. Olsen, Vaibhava Goel, Steven J. Rennie
2011	Misc	`conf`	Exemplar-based Sparse Representation phone identification features. ICASSP Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, Vaibhava Goel, Parikshit M. Shah
2011	Misc	`conf`	Front-end feature transforms with context filtering for speaker adaptation. ICASSP Jing Huang, Karthik Visweswariah, Peder A. Olsen, Vaibhava Goel
2011	C	`conf`	Sparse Maximum A Posteriori adaptation. ASRU Peder A. Olsen, Jing Huang, Vaibhava Goel, Steven J. Rennie
2011	J	`jnl`	Trends and advances in speech recognition. IBM J. Res. Dev. Michael Picheny, David Nahamoo, Vaibhava Goel, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon
2010	A	`conf`	Incorporating sparse representation phone identification features in automatic speech recognition using exponential families. INTERSPEECH Vaibhava Goel, Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, David Nahamoo, Dimitri Kanevsky
2010	A	`conf`	Modeling posterior probabilities using the linear exponential family. INTERSPEECH Peder A. Olsen, Vaibhava Goel, Charles A. Micchelli, John R. Hershey
2010	A	`conf`	Restructuring exponential family mixture models. INTERSPEECH Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2009	Misc	`conf`	A fast, accurate approximation to log likelihood of Gaussian mixture models. ICASSP Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen
2009	A	`conf`	Acoustic modeling using exponential families. INTERSPEECH Vaibhava Goel, Peder A. Olsen
2009	A	`conf`	Compacting discriminative feature space transforms for embedded devices. INTERSPEECH Etienne Marcheret, Jia-Yu Chen, Petr Fousek, Peder A. Olsen, Vaibhava Goel
2009	C	`conf`	Optimal quantization and bit allocation for compressing large discriminative feature space transforms. ASRU Etienne Marcheret, Vaibhava Goel, Peder A. Olsen
2009	Misc	`conf`	Refactoring acoustic models using variational density approximation. ICASSP Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2009	A	`conf`	Refactoring acoustic models using variational expectation-maximization. INTERSPEECH Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2008	Misc	`conf`	Optimizing speech recognition grammars using a measure of similarity between hidden Markov models. ICASSP Binit Mohanty, John R. Hershey, Peder A. Olsen, Suleyman Serdar Kozat, Vaibhava Goel
2007	A	`conf`	A data visualization and analysis method for natural language call routing system design. INTERSPEECH Hong-Kwang Jeff Kuo, Vaibhava Goel
2007	J	`jnl`	Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition. IEEE Trans. Speech Audio Process. Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
2006	J	`jnl`	Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. Vaibhava Goel, Shankar Kumar, William Byrne
2006	A	`conf`	On designing context sensitive language models for spoken dialog systems. INTERSPEECH Vaibhava Goel, Ramesh A. Gopinath
2005	A	`conf`	Active learning with minimum expected error for spoken language understanding. INTERSPEECH Hong-Kwang Jeff Kuo, Vaibhava Goel
2005	A	`conf`	Exploiting unlabeled data using multiple classifiers for improved natural language call-routing. INTERSPEECH Ruhi Sarikaya, Hong-Kwang Jeff Kuo, Vaibhava Goel, Yuqing Gao
2005	A	`conf`	Improving end-to-end performance of call classification through data confusion reduction and model tolerance enhancement. INTERSPEECH Cheng Wu, Xiang Li, Hong-Kwang Jeff Kuo, E. E. Jan, Vaibhava Goel, David M. Lubensky
2005	—	`conf`	Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System. ICASSP (1) Vaibhava Goel, Hong-Kwang Kuo, Sabine Deligne, Cheng Wu
2005	J	`jnl`	Subspace constrained Gaussian mixture models for speech recognition. IEEE Trans. Speech Audio Process. Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
2004	A	`conf`	Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars. INTERSPEECH Vaibhava Goel
2004	A	`conf`	Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition. INTERSPEECH Etienne Marcheret, Stephen M. Chu, Vaibhava Goel, Gerasimos Potamianos
2004	J	`jnl`	Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. Vaibhava Goel, Shankar Kumar, William Byrne
2004	A	`conf`	Stochastic gradient adaptation of front-end parameters. INTERSPEECH Sreeram Balakrishnan, Karthik Visweswariah, Vaibhava Goel
2004	A	`conf`	Task adaptation of acoustic and language models based on large quantities of data. INTERSPEECH Karthik Visweswariah, Ramesh A. Gopinath, Vaibhava Goel
2003	A	`conf`	Discriminative estimation of subspace precision and mean (SPAM) models. INTERSPEECH Vaibhava Goel, Scott Axelrod, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah
2003	A	`conf`	Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. INTERSPEECH Scott Axelrod, Vaibhava Goel, Brian Kingsbury, Karthik Visweswariah, Ramesh A. Gopinath
2003	A	`conf`	Toward domain-independent conversational speech recognition. INTERSPEECH Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny
2002	Misc	`conf`	Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model. ICASSP Ramesh Gopinath, Vaibhava Goel, Karthik Visweswariah, Peder A. Olsen
2002	A	`conf`	Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. INTERSPEECH Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah
2002	Misc	`conf`	Rapid adaptation with linear combinations of rank-one matrices. ICASSP Vaibhava Goel, Karthik Visweswariah, Ramesh Gopinath
2002	Misc	`conf`	Structuring linear transforms for adaptation using training time information. ICASSP Karthik Visweswariah, Vaibhava Goel, Ramesh Gopinath
2001	A	`conf`	Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH Vaibhava Goel, Shankar Kumar, William Byrne
2001	A	`conf`	Recent advances in speech recognition system for IBM DARPA communicator. INTERSPEECH Yuqing Gao, Hakan Erdogan, Yongxin Li, Vaibhava Goel, Michael Picheny
2000	J	`jnl`	Minimum Bayes-risk automatic speech recognition. Comput. Speech Lang. Vaibhava Goel, William J. Byrne
2000	A	`conf`	Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH Vaibhava Goel, Shankar Kumar, William Byrne
1999	—	`conf`	Task dependent loss functions in speech recognition: a* search over recognition lattices. EUROSPEECH Vaibhava Goel, William Byrne
1998	Misc	`conf`	LVCSR rescoring with modified loss functions: a decision theoretic perspective. ICASSP Vaibhava Goel, William Byrne, Sanjeev Khudanpur
1996	J	`jnl`	Dominant frequency analysis of EEG reveals brain's response during injury and recovery. IEEE Trans. Biomed. Eng. Vaibhava Goel, Ansgar Brambrink, Ahmet Baykal, Raymond C. Koehler, Daniel F. Hanley, Nitish V. Thakor
1995	Misc	`conf`	Quantification of injury-related EEG signal changes using Itakura distance measure. ICASSP Xuan Kong, Vaibhava Goel, Nitish V. Thakor