Vaibhava Goel - RankMe

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

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

conf

Co-Occurring Directions Sketching for Approximate Matrix Multiply.

AISTATS

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

2017

conf

Embedding-Based Speaker Adaptive Training of Deep Neural Networks.

INTERSPEECH

Xiaodong Cui, Vaibhava Goel, George Saon

2017

jnl

Embedding-Based Speaker Adaptive Training of Deep Neural Networks.

CoRR

Xiaodong Cui, Vaibhava Goel, George Saon

2017

conf

McGan: Mean and Covariance Feature Matching GAN.

ICML

Youssef Mroueh, Tom Sercu, Vaibhava Goel

2017

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

conf

Self-Critical Sequence Training for Image Captioning.

CVPR

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

2016

conf

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units.

INTERSPEECH

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

2016

conf

Advances in Very Deep Convolutional Neural Networks for LVCSR.

INTERSPEECH

Tom Sercu, Vaibhava Goel

2016

jnl

Advances in Very Deep Convolutional Neural Networks for LVCSR.

CoRR

Tom Sercu, Vaibhava Goel

2016

jnl

Co-Occuring Directions Sketching for Approximate Matrix Multiply.

CoRR

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

2016

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

jnl

Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks.

IEEE ACM Trans. Audio Speech Lang. Process.

Xiaodong Cui, Vaibhava Goel

2016

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

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

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

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

jnl

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

CoRR

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

2015

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

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

conf

Regularized feature-space discriminative adaptation for robust ASR.

INTERSPEECH

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

2013

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

conf

Adaptive stereo-based stochastic mapping.

INTERSPEECH

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

2013

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

conf

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

INTERSPEECH

Xiaodong Cui, Vaibhava Goel, Brian Kingsbury

2013

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

conf

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

INTERSPEECH

Danning Jiang, Dimitri Kanevsky, Vaibhava Goel, Yong Qin

2012

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

conf

Sparse Maximum A Posteriori adaptation.

ASRU

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

2011

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

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

conf

Modeling posterior probabilities using the linear exponential family.

INTERSPEECH

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

2010

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

conf

Acoustic modeling using exponential families.

INTERSPEECH

Vaibhava Goel, Peder A. Olsen

2009

conf

Compacting discriminative feature space transforms for embedded devices.

INTERSPEECH

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

2009

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

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

conf

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

INTERSPEECH

Hong-Kwang Jeff Kuo, Vaibhava Goel

2007

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

jnl

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

IEEE Trans. Speech Audio Process.

Vaibhava Goel, Shankar Kumar, William Byrne

2006

conf

On designing context sensitive language models for spoken dialog systems.

INTERSPEECH

Vaibhava Goel, Ramesh A. Gopinath

2005

conf

Active learning with minimum expected error for spoken language understanding.

INTERSPEECH

Hong-Kwang Jeff Kuo, Vaibhava Goel

2005

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

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

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

conf

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

INTERSPEECH

Vaibhava Goel

2004

conf

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

INTERSPEECH

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

2004

jnl

Segmental minimum Bayes-risk decoding for automatic speech recognition.

IEEE Trans. Speech Audio Process.

Vaibhava Goel, Shankar Kumar, William Byrne

2004

conf

Stochastic gradient adaptation of front-end parameters.

INTERSPEECH

Sreeram Balakrishnan, Karthik Visweswariah, Vaibhava Goel

2004

conf

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

INTERSPEECH

Karthik Visweswariah, Ramesh A. Gopinath, Vaibhava Goel

2003

conf

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

INTERSPEECH

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

2003

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

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

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

conf

Confidence based lattice segmentation and minimum Bayes-risk decoding.

INTERSPEECH

Vaibhava Goel, Shankar Kumar, William Byrne

2001

conf

Recent advances in speech recognition system for IBM DARPA communicator.

INTERSPEECH

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

2000

jnl

Minimum Bayes-risk automatic speech recognition.

Comput. Speech Lang.

Vaibhava Goel, William J. Byrne

2000

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

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

# from https://github.com/dishather/richprint/blob/master/comp_id.txt
# adapted from mirar's implementations for
# https://www.sweetscape.com/010editor/repository/files/EXE.bt
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    elif idVersion == 0x01026B74:
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    elif idVersion == 0x010264EA:
        return "[LNK] VS2017 v15.5.4 build 25834"
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        return "[IMP] VS2015 UPD1 build 23506"
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    elif idVersion == 0x00E17803:
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        return "[IMP] VS2013 UPD3 build 30723"
    elif idVersion == 0x00DF7803:
        return "[ASM] VS2013 UPD3 build 30723"
    elif idVersion == 0x00E07725:
        return "[ C ] VS2013 UPD2 build 30501"
    elif idVersion == 0x00E17725:
        return "[C++] VS2013 UPD2 build 30501"
    elif idVersion == 0x00DE7725:
        return "[LNK] VS2013 UPD2 build 30501"
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        return "[EXP] VS2013 UPD2 build 30501"
    elif idVersion == 0x00DD7725:
        return "[IMP] VS2013 UPD2 build 30501"
    elif idVersion == 0x00DF7725:
        return "[ASM] VS2013 UPD2 build 30501"
    elif idVersion == 0x00E0520D:
        return "[ C ] VS2013 build 21005"
    elif idVersion == 0x00E1520D:
        return "[C++] VS2013 build 21005"
    elif idVersion == 0x00DB520D:
        return "[RES] VS2013 build 21005"
    elif idVersion == 0x00DE520D:
        return "[LNK] VS2013 build 21005"
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        return "[EXP] VS2013 build 21005"
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        return "[IMP] VS2013 build 21005"
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        return "[ASM] VS2013 build 21005"
    elif idVersion == 0x00CEEE66:
        return "[ C ] VS2012 UPD4 build 61030"
    elif idVersion == 0x00CFEE66:
        return "[C++] VS2012 UPD4 build 61030"
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        return "[ASM] VS2012 UPD4 build 61030"
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        return "[LNK] VS2012 UPD4 build 61030"
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        return "[EXP] VS2012 UPD4 build 61030"
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        return "[IMP] VS2012 UPD4 build 61030"
    elif idVersion == 0x00CEECC2:
        return "[ C ] VS2012 UPD3 build 60610"
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        return "[C++] VS2012 UPD3 build 60610"
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        return "[ASM] VS2012 UPD3 build 60610"
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    elif idVersion == 0x00CBECC2:
        return "[IMP] VS2012 UPD3 build 60610"
    elif idVersion == 0x00CEEB9B:
        return "[ C ] VS2012 UPD2 build 60315"
    elif idVersion == 0x00CFEB9B:
        return "[C++] VS2012 UPD2 build 60315"
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    elif idVersion == 0x00CEC7A2:
        return "[ C ] VS2012 UPD1 build 51106"
    elif idVersion == 0x00CFC7A2:
        return "[C++] VS2012 UPD1 build 51106"
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        return "[ASM] VS2012 UPD1 build 51106"
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        return "[RES] VS2012 UPD1 build 51106"
    elif idVersion == 0x00CCC7A2:
        return "[LNK] VS2012 UPD1 build 51106"
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        return "[EXP] VS2012 UPD1 build 51106"
    elif idVersion == 0x00CBC7A2:
        return "[IMP] VS2012 UPD1 build 51106"
    elif idVersion == 0x00CEC627:
        return "[ C ] VS2012 build 50727"
    elif idVersion == 0x00CFC627:
        return "[C++] VS2012 build 50727"
    elif idVersion == 0x00C9C627:
        return "[RES] VS2012 build 50727"
    elif idVersion == 0x00CDC627:
        return "[ASM] VS2012 build 50727"
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        return "[EXP] VS2012 build 50727"
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        return "[LNK] VS2012 build 50727"
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    elif idVersion == 0x009C9D1B:
        return "[IMP] VS2010 SP1 build 40219"
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        return "[ASM] VS2010 SP1 build 40219"
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    elif idVersion == 0x00AB766F:
        return "[C++] VS2010 build 30319"
    elif idVersion == 0x009D766F:
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        return "[IMP] VS2010 build 30319"
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        return "[ASM] VS2010 build 30319"
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        return "[C++] VS2008 SP1 build 30729"
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        return "[ASM] VS2008 SP1 build 30729"
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        return "[IMP] VS2008 build 21022"
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        return "[ASM] VS2008 build 21022"
    elif idVersion == 0x006DC627:
        return "[ C ] VS2005 build 50727"
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        return "[C++] VS2005 build 50727"
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        return "[LNK] VS2005 build 50727"
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        return "[RES] VS2005 build 50727"
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        return "[EXP] VS2005 build 50727"
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        return "[IMP] VS2005 build 50727"
    elif idVersion == 0x007DC627:
        return "[ASM] VS2005 build 50727"
    elif idVersion == 0x005F178E:
        return "[ C ] VS2003 (.NET) SP1 build 6030"
    elif idVersion == 0x0060178E:
        return "[C++] VS2003 (.NET) SP1 build 6030"
    elif idVersion == 0x005A178E:
        return "[LNK] VS2003 (.NET) SP1 build 6030"
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        return "[IMP] VS2003 (.NET) SP1 build 6030"
    elif idVersion == 0x005F0C05:
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        return "[C++] VS2003 (.NET) build 3077"
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        return "[ASM] VS2003 (.NET) build 3077"
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        return "[C++] VS2002 (.NET) build 9466"
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        return "[ASM] VS2002 (.NET) build 9466"
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        return "[LNK] VS2002 (.NET) build 9466"
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        return "[RES] VS2002 (.NET) build 9466"
    elif idVersion == 0x003F24FA:
        return "[EXP] VS2002 (.NET) build 9466"
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        return "[IMP] VS2002 (.NET) build 9466"
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        return "[ C ] VS98 (6.0) SP6 build 8804"
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        return "[IMP] VS97 (5.0) SP3 link 5.10.7303"
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