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2020 – today
- 2021
[c72]Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven J. Rennie, David Nahamoo:
CNNBiF: CNN-based Bigram Features for Named Entity Recognition. EMNLP (Findings) 2021: 1016-1021- 2020
- [c71]Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel:
Unsupervised Adaptation of Question Answering Systems via Generative Self-training. EMNLP (1) 2020: 1148-1157
2010 – 2019
- 2017
- [c70]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS 2017: 567-575 - [c69]Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
:
Self-Critical Sequence Training for Image Captioning. CVPR 2017: 1179-1195 - [c68]Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney:
Noisy objective functions based on the f-divergence. ICASSP 2017: 2327-2331 - [c67]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. ICML 2017: 2527-2535 - [c66]Xiaodong Cui, Vaibhava Goel, George Saon:
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. INTERSPEECH 2017: 122-126 - [p1]Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos:
Audio and visual modality combination in speech processing applications. The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1) 2017: 489-543 - [i9]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. CoRR abs/1702.08398 (2017) - [i8]Xiaodong Cui, Vaibhava Goel, George Saon:
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. CoRR abs/1710.06937 (2017) - 2016
- [j10]Xiaodong Cui, Vaibhava Goel:
Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2023-2031 (2016) - [c65]Steven J. Rennie, Xiaodong Cui, Vaibhava Goel:
Efficient non-linear feature adaptation using Maxout networks. ICASSP 2016: 5310-5314 - [c64]Markus Nußbaum-Thom, Jia Cui, Bhuvana Ramabhadran, Vaibhava Goel:
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units. INTERSPEECH 2016: 390-394 - [c63]Tom Sercu, Vaibhava Goel:
Advances in Very Deep Convolutional Neural Networks for LVCSR. INTERSPEECH 2016: 3429-3433 - [i7]Tom Sercu, Vaibhava Goel:
Advances in Very Deep Convolutional Neural Networks for LVCSR. CoRR abs/1604.01792 (2016) - [i6]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR abs/1610.07686 (2016) - [i5]Tom Sercu, Vaibhava Goel:
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition. CoRR abs/1611.09288 (2016) - [i4]Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel:
Self-critical Sequence Training for Image Captioning. CoRR abs/1612.00563 (2016) - 2015
- [j9]Xiaodong Cui, Vaibhava Goel, Brian Kingsbury:
Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23(9): 1469-1477 (2015) - [c62]Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel:
Scattering vs. discrete cosine transform features in visual speech processing. AVSP 2015: 175-180 - [c61]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP 2015: 2130-2134 - [c60]Xiaodong Cui, Vaibhava Goel:
Maximum likelihood nonlinear transformations based on deep neural networks. ICASSP 2015: 4320-4324 - [c59]Xiaodong Cui, Vaibhava Goel, Brian Kingsbury:
Data augmentation for deep convolutional neural network acoustic modeling. ICASSP 2015: 4545-4549 - [c58]Petr Fousek, Pierre L. Dognin, Vaibhava Goel:
Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. ICASSP 2015: 4550-4554 - [c57]Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel:
Annealed dropout trained maxout networks for improved LVCSR. ICASSP 2015: 5181-5185 - [c56]Etienne Marcheret, Gerasimos Potamianos, Josef Vopicka, Vaibhava Goel:
Detecting audio-visual synchrony using deep neural networks. INTERSPEECH 2015: 548-552 - [i3]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR abs/1501.05396 (2015) - [i2]Youssef Mroueh, Steven J. Rennie, Vaibhava Goel:
Random Maxout Features. CoRR abs/1506.03705 (2015) - [i1]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR abs/1511.06267 (2015) - 2014
- [c55]Vijayaditya Peddinti, Tara N. Sainath, Shay Maymon, Bhuvana Ramabhadran, David Nahamoo, Vaibhava Goel:
Deep Scattering Spectrum with deep neural networks. ICASSP 2014: 210-214 - [c54]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: 5577-5581 - [c53]Xiaodong Cui, Vaibhava Goel, Brian Kingsbury:
Data Augmentation for deep neural network acoustic modeling. ICASSP 2014: 5582-5586 - [c52]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: 5612-5616 - [c51]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: 2103-2107 - [c50]Takashi Fukuda, Osamu Ichikawa, Masafumi Nishimura, Steven J. Rennie, Vaibhava Goel:
Regularized feature-space discriminative adaptation for robust ASR. INTERSPEECH 2014: 2185-2188 - [c49]Steven J. Rennie, Vaibhava Goel, Samuel Thomas:
Deep Order Statistic Networks. SLT 2014: 124-128 - [c48]Steven J. Rennie, Vaibhava Goel, Samuel Thomas:
Annealed dropout training of deep networks. SLT 2014: 159-164 - 2013
- [j8]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): 2255-2266 (2013) - [c47]Pierre L. Dognin, Vaibhava Goel:
Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. ASRU 2013: 321-325 - [c46]Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel:
Direct product based deep belief networks for automatic speech recognition. ICASSP 2013: 3148-3152 - [c45]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: 6945-6949 - [c44]Xiaodong Cui, Vaibhava Goel, Brian Kingsbury:
Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. INTERSPEECH 2013: 3012-3016 - [c43]Shay Maymon, Etienne Marcheret, Vaibhava Goel:
Restoration of clipped signals with application to speech recognition. INTERSPEECH 2013: 3294-3297 - [c42]Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel:
Adaptive stereo-based stochastic mapping. INTERSPEECH 2013: 3517-3521 - 2012
- [c41]Etienne Marcheret, Om D. Deshmukh, Vaibhava Goel, Jirí Navrátil:
A framework for unsupervised transfer learning and application to dialog decision classification. ICASSP 2012: 1981-1984 - [c40]Peder A. Olsen, Jing Huang, Steven J. Rennie, Vaibhava Goel:
Affine invariant sparse maximum a posteriori adaptation. ICASSP 2012: 4317-4320 - [c39]Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel:
Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. INTERSPEECH 2012: 795-798 - [c38]Danning Jiang, Dimitri Kanevsky, Vaibhava Goel, Yong Qin:
Investigating Performance of the Discriminative Methods for Long-Term Speaker Adaptation. INTERSPEECH 2012: 1768-1771 - 2011
- [j7]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): 2 (2011) - [c37]Peder A. Olsen, Jing Huang, Vaibhava Goel, Steven J. Rennie:
Sparse Maximum A Posteriori adaptation. ASRU 2011: 53-58 - [c36]Jing Huang, Karthik Visweswariah, Peder A. Olsen, Vaibhava Goel:
Front-end feature transforms with context filtering for speaker adaptation. ICASSP 2011: 4440-4443 - [c35]Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, Vaibhava Goel, Parikshit M. Shah:
Exemplar-based Sparse Representation phone identification features. ICASSP 2011: 4492-4495 - [c34]Peder A. Olsen, Vaibhava Goel, Steven J. Rennie:
Discriminative training for full covariance models. ICASSP 2011: 5312-5315 - 2010
- [c33]Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen:
Restructuring exponential family mixture models. INTERSPEECH 2010: 62-65 - [c32]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: 1345-1348 - [c31]Peder A. Olsen, Vaibhava Goel, Charles A. Micchelli, John R. Hershey:
Modeling posterior probabilities using the linear exponential family. INTERSPEECH 2010: 2994-2997
2000 – 2009
- 2009
- [c30]Etienne Marcheret, Vaibhava Goel, Peder A. Olsen:
Optimal quantization and bit allocation for compressing large discriminative feature space transforms. ASRU 2009: 64-69 - [c29]Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen:
A fast, accurate approximation to log likelihood of Gaussian mixture models. ICASSP 2009: 3817-3820 - [c28]Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen:
Refactoring acoustic models using variational density approximation. ICASSP 2009: 4473-4476 - [c27]Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen:
Refactoring acoustic models using variational expectation-maximization. INTERSPEECH 2009: 212-215 - [c26]Etienne Marcheret, Jia-Yu Chen, Petr Fousek, Peder A. Olsen, Vaibhava Goel:
Compacting discriminative feature space transforms for embedded devices. INTERSPEECH 2009: 228-231 - [c25]Vaibhava Goel, Peder A. Olsen:
Acoustic modeling using exponential families. INTERSPEECH 2009: 1423-1426 - 2008
- [c24]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: 4953-4956 - 2007
- [j6]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): 172-189 (2007) - [c23]Hong-Kwang Jeff Kuo, Vaibhava Goel:
A data visualization and analysis method for natural language call routing system design. INTERSPEECH 2007: 2729-2732 - 2006
- [j5]Vaibhava Goel, Shankar Kumar, William Byrne:
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. 14(1): 356-357 (2006) - [c22]Vaibhava Goel, Ramesh A. Gopinath:
On designing context sensitive language models for spoken dialog systems. INTERSPEECH 2006 - 2005
- [j4]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): 1144-1160 (2005) - [c21]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: 565-568 - [c20]Ruhi Sarikaya, Hong-Kwang Jeff Kuo, Vaibhava Goel, Yuqing Gao:
Exploiting unlabeled data using multiple classifiers for improved natural language call-routing. INTERSPEECH 2005: 433-436 - [c19]Hong-Kwang Jeff Kuo, Vaibhava Goel:
Active learning with minimum expected error for spoken language understanding. INTERSPEECH 2005: 437-440 - [c18]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: 3473-3476 - 2004
- [j3]Vaibhava Goel, Shankar Kumar, William Byrne:
Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. 12(3): 234-249 (2004) - [c17]Sreeram Balakrishnan, Karthik Visweswariah, Vaibhava Goel:
Stochastic gradient adaptation of front-end parameters. INTERSPEECH 2004: 1-4 - [c16]Karthik Visweswariah, Ramesh A. Gopinath, Vaibhava Goel:
Task adaptation of acoustic and language models based on large quantities of data. INTERSPEECH 2004: 1977-1980 - [c15]Vaibhava Goel:
Conditional maximum likelihood estimation for improving annotation performance of n-gram models incorporating stochastic finite state grammars. INTERSPEECH 2004: 2237-2241 - [c14]Etienne Marcheret, Stephen M. Chu, Vaibhava Goel, Gerasimos Potamianos:
Efficient likelihood computation in multi-stream HMM based audio-visual speech recognition. INTERSPEECH 2004: 2297-2300 - 2003
- [c13]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: 1613-1616 - [c12]Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny:
Toward domain-independent conversational speech recognition. INTERSPEECH 2003: 1881-1884 - [c11]Vaibhava Goel, Scott Axelrod, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah:
Discriminative estimation of subspace precision and mean (SPAM) models. INTERSPEECH 2003: 2617-2620 - 2002
- [c10]Vaibhava Goel, Karthik Visweswariah, Ramesh Gopinath:
Rapid adaptation with linear combinations of rank-one matrices. ICASSP 2002: 581-584 - [c9]Karthik Visweswariah, Vaibhava Goel, Ramesh Gopinath:
Structuring linear transforms for adaptation using training time information. ICASSP 2002: 585-588 - [c8]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: 925-928 - [c7]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: 2597-2600 - 2001
- [c6]Yuqing Gao, Hakan Erdogan, Yongxin Li, Vaibhava Goel, Michael Picheny:
Recent advances in speech recognition system for IBM DARPA communicator. INTERSPEECH 2001: 503-506 - [c5]Vaibhava Goel, Shankar Kumar, William Byrne:
Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH 2001: 2569-2572 - 2000
- [j2]Vaibhava Goel, William J. Byrne:
Minimum Bayes-risk automatic speech recognition. Comput. Speech Lang. 14(2): 115-135 (2000) - [c4]Vaibhava Goel, Shankar Kumar, William Byrne:
Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH 2000: 139-142
1990 – 1999
- 1999
- [c3]Vaibhava Goel, William Byrne:
Task dependent loss functions in speech recognition: a* search over recognition lattices. EUROSPEECH 1999: 1243-1246 - 1998
- [c2]Vaibhava Goel, William Byrne, Sanjeev Khudanpur:
LVCSR rescoring with modified loss functions: a decision theoretic perspective. ICASSP 1998: 425-428 - 1996
- [j1]Vaibhava Goel, Ansgar Brambrink, Ahmet Baykal, Raymond C. Koehler, Daniel F. Hanley, Nitish V. Thakor:
Dominant frequency analysis of EEG reveals brain's response during injury and recovery. IEEE Trans. Biomed. Eng. 43(11): 1083-1092 (1996) - 1995
- [c1]Xuan Kong, Vaibhava Goel, Nitish V. Thakor:
Quantification of injury-related EEG signal changes using Itakura distance measure. ICASSP 1995: 2947-2950
Coauthor Index
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