Sanjeev Khudanpur

Jun Wu, Sanjeev Khudanpur, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Multi-PLDA Diarization on Children's Speech

Sanjeev Khudanpur, Daniel Povey, Leibny Paola García-Perera, 2019, INTERSPEECH.

Hill climbing on speech lattices: A new rescoring framework

Bhuvana Ramabhadran, Mark Dredze, Ariya Rastrow, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pronunciation modeling by sharing gaussian densities across phonetic models

Harriet J. Nock, Sanjeev Khudanpur, Murat Saraclar, 1999, EUROSPEECH.

Desparately Seeking Cebuano

David Yarowsky, William J. Byrne, Philipp Koehn, 2003, NAACL.

Acoustic Modelling from the Signal Domain Using CNNs

Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, 2016, INTERSPEECH.

End-to-end Deep Neural Network Age Estimation

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2018, INTERSPEECH.

Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation

Chris Callison-Burch, Jonathan Weese, Lane Schwartz, 2009, ACL.

Continuous space discriminative language modeling

Brian Roark, Philipp Koehn, Adam Lopez, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Scalable Decoder for Parsing-Based Machine Translation with Equivalent Language Model State Maintenance

Sanjeev Khudanpur, Zhifei Li, S. Khudanpur, 2008, SSST@ACL.

Analysis of the Structure of Surgical Activity for a Suturing and Knot-Tying Task

Narges Ahmidi, Sanjeev Khudanpur, Yixin Gao, 2016, PloS one.

Mandarin-English Information (MEI): investigating translingual speech retrieval

Douglas W. Oard, Hsin-Min Wang, Sanjeev Khudanpur, 2000 .

Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation

Sanjeev Khudanpur, Markus Dreyer, Keith B. Hall, 2007, SSST@HLT-NAACL.

String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery

Gregory D. Hager, Narges Ahmidi, René Vidal, 2013, MICCAI.

Unsupervised Arabic Dialect Adaptation with Self-Training

Richard M. Schwartz, Sanjeev Khudanpur, Scott Novotney, 2011, INTERSPEECH.

Constraints and Development in Children's Block Construction

Gregory D. Hager, Barbara Landau, Sanjeev Khudanpur, 2018, CogSci.

Improving LF-MMI Using Unconstrained Supervisions for ASR

Sanjeev Khudanpur, Daniel Povey, Hossein Sameti, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Rapid speech recognizer adaptation to new speakers

William J. Byrne, Adrian Corduneanu, Vassilios Digalakis, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Acoustic data-driven pronunciation lexicon generation for logographic languages

Sanjeev Khudanpur, Daniel Povey, Guoguo Chen, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Machine Translation System Combination using ITG-based Alignments

Sanjeev Khudanpur, Markus Dreyer, Damianos Karakos, 2008, ACL.

Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization

Carey E. Priebe, Sanjeev Khudanpur, Damianos Karakos, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs

Yiming Wang, Sanjeev Khudanpur, Daniel Povey, 2018, IEEE Signal Processing Letters.

Imperial College and Johns Hopkins University at TRECVID

Sanjeev Khudanpur, João Magalhães, Stefan Rüger, 2006, TRECVID.

Maximum Likelihood Set for Estimating a Probability Mass Function

Sanjeev Khudanpur, Bruno Jedynak, S. Khudanpur, 2005, Neural Computation.

Maximum entropy language modeling with non-local dependencies

Sanjeev Khudanpur, Jun Wu, S. Khudanpur, 2003 .

Research Developments and Directions in Speech Recognition and Understanding, Part 1

James Glass, James R. Glass, Sanjeev Khudanpur, 2009 .

Using cross-language cues for story-specific language modeling

Sanjeev Khudanpur, Woosung Kim, 2002, INTERSPEECH.

TRECVID 2005 Experiment at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval

Sanjeev Khudanpur, Damianos Karakos, Arnab Ghoshal, 2005, TRECVID.

Efficient Subsampling for Training Complex Language Models

Sanjeev Khudanpur, Puyang Xu, Asela Gunawardana, 2011, EMNLP.

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework

Xiaohui Zhang, Sanjeev Khudanpur, Daniel Povey, 2017, INTERSPEECH.

Latent Semantic Information in Maximum Entropy Language Models for Conversational Speech Recognition

Sanjeev Khudanpur, Yonggang Deng, 2003, HLT-NAACL.

On large vocabulary continuous speech recognition of highly inflectional language - czech

William J. Byrne, Sanjeev Khudanpur, Frederick Jelinek, 2001, INTERSPEECH.

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS

Sanjeev Khudanpur, Daniel Povey, Tom Ko, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

The Johns Hopkins University 2003 Chinese-English machine translation system

David Yarowsky, Shankar Kumar, Sanjeev Khudanpur, 2003, MTSUMMIT.

Cross-Instance Tuning of Unsupervised Document Clustering Algorithms

Carey E. Priebe, Sanjeev Khudanpur, Damianos Karakos, 2007, HLT-NAACL.

Deep neural network-based speaker embeddings for end-to-end speaker verification

Sanjeev Khudanpur, Daniel Garcia-Romero, Daniel Povey, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Towards language independent acoustic modeling

William J. Byrne, John Morgan, Dimitra Vergyri, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Joint visual-text modeling for automatic retrieval of multimedia documents

Pinar Duygulu Sahin, Harriet J. Nock, Giridharan Iyengar, 2005, ACM Multimedia.

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation

Gregory D. Hager, René Vidal, Sanjeev Khudanpur, 2012, IPCAI.

Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT - Workshop Notes

Ebru Arisoy, Bhuvana Ramabhadran, Sanjeev Khudanpur, 2012, WLM@NAACL-HLT.

Variational approximation of long-span language models for lvcsr

Sanjeev Khudanpur, Martin Karafiát, Tomas Mikolov, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Neural Network Embeddings for Text-Independent Speaker Verification

Sanjeev Khudanpur, Daniel Garcia-Romero, Daniel Povey, 2017, INTERSPEECH.

Zero-Shot Pronunciation Lexicons for Cross-Language Acoustic Model Transfer

David Yarowsky, Sanjeev Khudanpur, Matthew Wiesner, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Phone Duration Modeling for LVCSR Using Neural Networks

Sanjeev Khudanpur, Daniel Povey, Hossein Sameti, 2017, INTERSPEECH.

WS96 project report: Automatic learning of word pronunciation from data

Mitch Weintraub, Sanjeev Khudanpur, Murat Saraclar, 1997 .

Variational Decoding for Statistical Machine Translation

Sanjeev Khudanpur, Zhifei Li, Jason Eisner, 2009, ACL.

Reverberation robust acoustic modeling using i-vectors with time delay neural networks

Sanjeev Khudanpur, Daniel Povey, Vijayaditya Peddinti, 2015, INTERSPEECH.

A diversity-penalizing ensemble training method for deep learning

Xiaohui Zhang, Sanjeev Khudanpur, Daniel Povey, 2015, INTERSPEECH.

Some insights from translating conversational telephone speech

Matt Post, Sanjeev Khudanpur, Daniel Povey, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using of heterogeneous corpora for training of an ASR system pdf

Matt Post, Sanjeev Khudanpur, Paul McNamee, 2017, ArXiv.

Data-Derived Models for Segmentation with Application to Surgical Assessment and Training

Gregory D. Hager, Henry Lin, Sanjeev Khudanpur, 2009, MICCAI.

Large Vocabulary Speech Recognition for Read and Broadcast Czech

William J. Byrne, Sanjeev Khudanpur, Frederick Jelinek, 1999, TSD.

Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition

Yiming Wang, Ke Li, Sanjeev Khudanpur, 2018, INTERSPEECH.

Stochastic pronunciation modelling from hand-labelled phonetic corpora

William J. Byrne, Andrej Ljolje, Harriet J. Nock, 1999, Speech Commun..

Acoustic Modeling for Overlapping Speech Recognition: Jhu Chime-5 Challenge System

Shinji Watanabe, Sanjeev Khudanpur, Yusuke Fujita, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient discriminative training of long-span language models

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Nanyun Peng, Shinji Watanabe, Lei Xie, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Flat-Start Single-Stage Discriminatively Trained HMM-Based Models for ASR

Sanjeev Khudanpur, Daniel Povey, Hossein Sameti, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A pitch extraction algorithm tuned for automatic speech recognition

Sanjeev Khudanpur, Daniel Povey, Bagher BabaAli, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Enhancement and Analysis of Conversational Speech: JSALT 2017

Zhou Yu, Kenneth Ward Church, Jun Du, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Limited resource term detection for effective topic identification of speech

Sanjeev Khudanpur, Jonathan Wintrode, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Learning of Acoustic Sub-word Units

Sanjeev Khudanpur, Emmanuel Dupoux, Balakrishnan Varadarajan, 2008, ACL.

End-to-end Speech Recognition Using Lattice-free MMI

Sanjeev Khudanpur, Daniel Povey, Hossein Sameti, 2018, INTERSPEECH.

Building a topic-dependent maximum entropy model for very large corpora

Jun Wu, Sanjeev Khudanpur, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Spoken Language Recognition using X-vectors

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2018, Odyssey.

Incremental Lattice Determinization for WFST Decoders

Lei Xie, Sanjeev Khudanpur, Daniel Povey, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation pdf

Mark Dredze, Sanjeev Khudanpur, Damianos Karakos, 2013, ArXiv.

Source Adaptation for Improved Content-Based Video Retrieval

Sanjeev Khudanpur, Arnab Ghoshal, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small Step pdf

Shinji Watanabe, Sanjeev Khudanpur, Jing Shi, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A time delay neural network architecture for efficient modeling of long temporal contexts

Sanjeev Khudanpur, Daniel Povey, Vijayaditya Peddinti, 2015, INTERSPEECH.

The JHU Speaker Recognition System for the VOiCES 2019 Challenge

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2019, INTERSPEECH.

Robust Knowledge Discovery from Parallel Speech and Text Sources

Hermann Ney, William J. Byrne, Sanjeev Khudanpur, 2001, HLT.

X-Vectors: Robust DNN Embeddings for Speaker Recognition

Sanjeev Khudanpur, Daniel Garcia-Romero, Daniel Povey, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recurrent neural network based language model

Lukás Burget, Sanjeev Khudanpur, Jan Cernocký, 2010, INTERSPEECH.

Open Source, Parsing-Based Machine Translation

Chris Callison-Burch, Sanjeev Khudanpur, Zhifei Li, 2009 .

OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR

Sanjeev Khudanpur, Daniel Povey, Xiaohui Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages

Sanjeev Khudanpur, Craig Harman, Najim Dehak, 2018, INTERSPEECH.

The JHU ASR System for VOiCES from a Distance Challenge 2019

Sanjeev Khudanpur, Yiming Wang, Daniel Povey, 2019, INTERSPEECH.

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

Yiming Wang, Ke Li, Sanjeev Khudanpur, 2018, INTERSPEECH.

Impact of novel sources on content-based image and video retrieval

Dietrich Klakow, Sanjeev Khudanpur, Arnab Ghoshal, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Topic identification of spoken documents using unsupervised acoustic unit discovery

Lukás Burget, Sanjeev Khudanpur, Jan Cernocký, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Time-Restricted Self-Attention Layer for ASR

Ke Li, Sanjeev Khudanpur, Daniel Povey, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Sanjeev Khudanpur, Craig Harman, Najim Dehak, 2018, 1802.08731.

Librispeech: An ASR corpus based on public domain audio books

Sanjeev Khudanpur, Daniel Povey, Guoguo Chen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigation of transfer learning for ASR using LF-MMI trained neural networks

Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Far-Field ASR Without Parallel Data

Yiming Wang, Sanjeev Khudanpur, Daniel Povey, 2016, INTERSPEECH.

Combining local and broad topic context to improve term detection

Sanjeev Khudanpur, Jonathan Wintrode, S. Khudanpur, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Pronunciation modelling using a hand-labelled corpus for conversational speech recognition

William J. Byrne, Harriet J. Nock, George Zavaliagkos, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Error Bounds and Improved Probability Estimation using the Maximum Likelihood Set

Sanjeev Khudanpur, Damianos G. Karakos, Damianos Karakos, 2007, 2007 IEEE International Symposium on Information Theory.

Learning and inference algorithms for dynamical system models of dextrous motion

Sanjeev Khudanpur, Balakrishnan Varadarajan, 2011 .

Low-resource open vocabulary keyword search using point process models

Aren Jansen, Sanjeev Khudanpur, Keith Kintzley, 2014, INTERSPEECH.

Toward Computer Vision Systems That Understand Real-World Assembly Processes

Gregory D. Hager, Sanjeev Khudanpur, Jonathan D. Jones, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Hallucinated n-best lists for discriminative language modeling

Brian Roark, Philipp Koehn, Adam Lopez, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mandarin-English Information: Investigating Translingual Speech Retrieval

Douglas W. Oard, Hsin-Min Wang, Berlin Chen, 2001, HLT.

Automatic Learning of Word Pronunciation from Data

Mitch Weintraub, Sanjeev Khudanpur, Murat Saraclar, 1996 .

Revisiting the Case for Explicit Syntactic Information in Language Models

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, WLM@NAACL-HLT.

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

Gregory D. Hager, Narges Ahmidi, René Vidal, 2017, IEEE Transactions on Biomedical Engineering.

Audio augmentation for speech recognition

Sanjeev Khudanpur, Daniel Povey, Tom Ko, 2015, INTERSPEECH.

Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition

Sanjeev Khudanpur, Garimella S. V. S. Sivaram, Balakrishnan Varadarajan, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An empirical evaluation of zero resource acoustic unit discovery

Lukás Burget, Sanjeev Khudanpur, Ming Sun, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A study on data augmentation of reverberant speech for robust speech recognition

Sanjeev Khudanpur, Daniel Povey, Tom Ko, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MANDARIN-ENGLISH INFORMATION (MEI)

Hsin-Min Wang, Sanjeev Khudanpur, Helen Meng, 2000 .

Pronunciation change in conversational speech and its implications for automatic speech recognition

Sanjeev Khudanpur, Murat Saraclar, S. Khudanpur, 2004, Comput. Speech Lang..

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge

Shinji Watanabe, Sanjeev Khudanpur, Alan McCree, 2018, INTERSPEECH.

Decoding in Joshua: Open Source, Parsing-Based Machine Translation

Sanjeev Khudanpur, Chris Callison-Burch, Zhifei Li, 2009, Prague Bull. Math. Linguistics.

Task-Level vs. Segment-Level Quantitative Metrics for Surgical Skill Assessment.

Narges Ahmidi, Sanjeev Khudanpur, Anand Malpani, 2016, Journal of surgical education.

Tree-structured models of parameter dependence for rapid adaptation in large vocabulary conversational speech recognition

Sanjeev Khudanpur, Ashvin Kannan, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Improved speech-to-text translation with the Fisher and Callhome Spanish-English speech translation corpus

Matt Post, Sanjeev Khudanpur, Chris Callison-Burch, 2013, IWSLT.

Analysis of Robustness of Deep Single-Channel Speech Separation Using Corpora Constructed From Multiple Domains

Shinji Watanabe, Sanjeev Khudanpur, Gregory Sell, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Neural Network Language Modeling with Letter-Based Features and Importance Sampling

Jian Wang, Yiming Wang, Ke Li, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2019, INTERSPEECH.

Language Modeling with the Maximum Likelihood Set: Complexity Issues and the Back-off Formula

Sanjeev Khudanpur, Damianos G. Karakos, Damianos Karakos, 2006, 2006 IEEE International Symposium on Information Theory.

Pronunciation ambiguity vs. pronunciation variability in speech recognition

Sanjeev Khudanpur, Murat Saraclar, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Language model adaptation using cross-lingual information

Sanjeev Khudanpur, Woosung Kim, 2003, INTERSPEECH.

Adapting ASR for under-resourced languages using mismatched transcriptions

Mark Hasegawa-Johnson, Sanjeev Khudanpur, Hao Tang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Topic Identification for Speech Without ASR

Sanjeev Khudanpur, Craig Harman, Jan Trmal, 2017, INTERSPEECH.

Transliteration of Proper Names in Cross-Lingual Information Retrieval

Sanjeev Khudanpur, Paola Virga, S. Khudanpur, 2003, NER@ACL.

Efficient Extraction of Oracle-best Translations from Hypergraphs

Sanjeev Khudanpur, Zhifei Li, 2009, HLT-NAACL.

Learning and inference algorithms for partially observed structured switching vector autoregressive models

Sanjeev Khudanpur, Balakrishnan Varadarajan, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A GPU-based WFST Decoder with Exact Lattice Generation pdf

Justin Luitjens, Yiming Wang, Sanjeev Khudanpur, 2018, INTERSPEECH.

Speaker Diarization with Region Proposal Network

Shinji Watanabe, Sanjeev Khudanpur, Daniel Povey, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection

Sanjeev Khudanpur, Jonathan Wintrode, 2014, ACL.

Mixture of Speaker-type PLDAs for Children's Speech Diarization

Sanjeev Khudanpur, Daniel Povey, Suzanna Sia, 2020, 2008.13213.

Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets

Sanjeev Khudanpur, Zhifei Li, Jason Eisner, 2010, COLING.

A Smorgasbord of Features for Statistical Machine Translation

Alexander M. Fraser, Shankar Kumar, Dragomir R. Radev, 2004, NAACL.

Is automatic speech recognition ready for non-native speech? A data collection effort and initial experiments in modelling conversational Hispanic English

Sanjeev Khudanpur, William Byrne, Jared Bernstein, 1998 .

Richard M. Schwartz, Sanjeev Khudanpur, Scott Novotney, 2016, Comput. Speech Lang..

Combining nonlocal, syntactic and n-gram dependencies in language modeling

Jun Wu, Sanjeev Khudanpur, 1999, EUROSPEECH.

The Kaldi OpenKWS System: Improving Low Resource Keyword Search

Xiaohui Zhang, Yiming Wang, Sanjeev Khudanpur, 2017, INTERSPEECH.

Likelihood-Based Semi-Supervised Model Selection With Applications to Speech Processing

Sanjeev Khudanpur, Patrick J. Wolfe, Christopher M. White, 2010, IEEE Journal of Selected Topics in Signal Processing.

A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition

Yiming Wang, Ke Li, Sanjeev Khudanpur, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pronunciation and silence probability modeling for ASR

Sanjeev Khudanpur, Daniel Povey, Minhua Wu, 2015, INTERSPEECH.

An Alternative to MFCCs for ASR

Hynek Hermansky, Sanjeev Khudanpur, Daniel Povey, 2020, INTERSPEECH.

Characterizing spatial construction processes: Toward computational tools to understand cognition

Gregory D. Hager, Barbara Landau, Sanjeev Khudanpur, 2017, CogSci.

Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings

Shinji Watanabe, Sanjeev Khudanpur, Najim Dehak, 2019, INTERSPEECH.

Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, ACL.

Generative Content Models for Structural Analysis of Medical Abstracts

Jimmy J. Lin, Sanjeev Khudanpur, Jimmy Lin, 2006, BioNLP@NAACL-HLT.

New release of Mixer-6: Improved validity for phonetic study of speaker variation and identification

Sanjeev Khudanpur, Matthew Maciejewski, Jan Trmal, 2016, LREC.

A keyword search system using open source software

David Yarowsky, Xiaohui Zhang, Florian Metze, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging pdf

Xiaohui Zhang, Sanjeev Khudanpur, Daniel Povey, 2014, ICLR.

Acoustic Modeling from Frequency Domain Representations of Speech

Sanjeev Khudanpur, Daniel Povey, Hang Lv, 2018, INTERSPEECH.

International Workshop on Spoken Language Translation (IWSLT 2013)

Adam Lopez, Matt Post, Chris Callison-Burch, 2013 .

x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2019, INTERSPEECH.

Optical Character Recognition with Chinese and Korean Character Decomposition

Sanjeev Khudanpur, L. Paola García-Perera, Daniel Povey, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop

Richard M. Stern, Tetsuji Ogawa, Hynek Hermansky, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semi-supervised discriminative language modeling for Turkish ASR

Brian Roark, Philipp Koehn, Adam Lopez, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Backstitch: Counteracting Finite-Sample Bias via Negative Steps

Xiaohui Zhang, Yiming Wang, Sanjeev Khudanpur, 2017, INTERSPEECH.

Efficient Structured Language Modeling for Speech Recognition

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2012, INTERSPEECH.

Semi-supervised maximum mutual information training of deep neural network acoustic models

Sanjeev Khudanpur, Daniel Povey, Vimal Manohar, 2015, INTERSPEECH.

A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR Models

Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation

Brian Roark, Sanjeev Khudanpur, Zhifei Li, 2011, EMNLP.

Cross-Lingual Lexical Triggers in Statistical Language Modeling

Sanjeev Khudanpur, Woosung Kim, 2003, EMNLP.

Quantifying the value of pronunciation lexicons for keyword search in lowresource languages

David Yarowsky, Sanjeev Khudanpur, Daniel Povey, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies

Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, 2010, WMT@ACL.

Low-Resource Contextual Topic Identification on Speech

Shinji Watanabe, Sanjeev Khudanpur, Craig Harman, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

Kenneth Ward Church, Florian Metze, Aren Jansen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Probing the Information Encoded in X-Vectors

Sanjeev Khudanpur, Daniel Povey, David Snyder, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Semi-Supervised Methods for Improving Keyword Search of Unseen Terms

Richard M. Schwartz, Sanjeev Khudanpur, Owen Kimball, 2012, INTERSPEECH.

LVCSR rescoring with modified loss functions: a decision theoretic perspective

Vaibhava Goel, William J. Byrne, Sanjeev Khudanpur, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Maximum entropy techniques for exploiting syntactic, semantic and collocational dependencies in language modeling

Jun Wu, Sanjeev Khudanpur, S. Khudanpur, 2000, Comput. Speech Lang..

Computation of Csiszár’s mutual Information of order α

Carey E. Priebe, Sanjeev Khudanpur, Damianos Karakos, 2008, 2008 IEEE International Symposium on Information Theory.

Improving Passage Retrieval Using Interactive Elicition and Statistical Modeling

Douglas W. Oard, Sanjeev Khudanpur, Daqing He, 2004, TREC.

Adapting n-gram maximum entropy language models with conditional entropy regularization

Mark Dredze, Ariya Rastrow, Sanjeev Khudanpur, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Randomized maximum entropy language models

Sanjeev Khudanpur, Puyang Xu, Asela Gunawardana, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Bottom-Up Unsupervised Word Discovery via Acoustic Units

Sanjeev Khudanpur, Najim Dehak, Chunxi Liu, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Modeling phonetic context with non-random forests for speech recognition

Sanjeev Khudanpur, Daniel Povey, Hainan Xu, 2015, INTERSPEECH.

Syntax for Statistical Machine Translation

Alexander M. Fraser, Kenji Yamada, Dragomir R. Radev, 2003 .

Using Word Repetition to Improve Spoken Term Detection

Sanjeev Khudanpur, Jonathan Wintrode, 2014 .

Using ASR Methods for OCR

Shinji Watanabe, Sanjeev Khudanpur, Daniel Povey, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

An Exploration of Dropout with LSTMs

Yonghong Yan, Sanjeev Khudanpur, Daniel Povey, 2017, INTERSPEECH.

Automatic Recognition of Surgical Motions Using Statistical Modeling for Capturing Variability

Gregory D. Hager, Sanjeev Khudanpur, David D. Yuh, 2008, MMVR.

Transliteration of proper names in cross-language applications

Sanjeev Khudanpur, Paola Virga, S. Khudanpur, 2003, SIGIR.

A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation

Sanjeev Khudanpur, Daniel Povey, Gaurav Kumar, 2015, EMNLP.

An investigation of acoustic models for multilingual code-switching

Sanjeev Khudanpur, James K. Baker, Christopher M. White, 2008, INTERSPEECH.

Extensions of recurrent neural network language model

Lukás Burget, Sanjeev Khudanpur, Jan Cernocký, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised classification via decision trees: an information-theoretic perspective

Carey E. Priebe, Sanjeev Khudanpur, Damianos Karakos, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Structured variability in acoustic realization: a corpus study of voice onset time in American English stops

Sanjeev Khudanpur, Eleanor Chodroff, John Godfrey, 2015, ICPhS.

JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning

Sanjeev Khudanpur, Daniel Povey, Vimal Manohar, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Online Learning in Tensor Space

Yuan Cao, Sanjeev Khudanpur, 2014, ACL.

Speaker Recognition for Multi-speaker Conversations Using X-vectors

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

Sanjeev Khudanpur, Yiming Wang, Daniel Povey, 2020, INTERSPEECH.

The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection pdf

Sanjeev Khudanpur, Craig Harman, Najim Dehak, 2018, ArXiv.

Deriving conversation-based features from unlabeled speech for discriminative language modeling

Brian Roark, Philipp Koehn, Adam Lopez, 2012, INTERSPEECH.

Cross-lingual latent semantic analysis for language modeling

Sanjeev Khudanpur, Woosung Kim, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Unsupervised surgical data alignment with application to automatic activity annotation

Gregory D. Hager, Sanjeev Khudanpur, Yixin Gao, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods

Sanjeev Khudanpur, David Snyder, Matthew Maciejewski, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving deep neural network acoustic models using generalized maxout networks

Xiaohui Zhang, Sanjeev Khudanpur, Daniel Povey, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Empirical Study of Transformer-Based Neural Language Model Adaptation

Sanjeev Khudanpur, Fuchun Peng, Daniel Povey, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Order estimation for a special class of hidden Markov sources and binary renewal processes

Sanjeev Khudanpur, Prakash Narayan, 2002, IEEE Trans. Inf. Theory.

Language model adaptation for automatic speech recognition and statistical machine translation

Sanjeev Khudanpur, Woosung Kim, 2005 .

Smoothing issues in the structured language model

Jun Wu, Sanjeev Khudanpur, Woosung Kim, 2001, INTERSPEECH.

Using proxies for OOV keywords in the keyword search task

Sanjeev Khudanpur, Daniel Povey, Oguz Yilmaz, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Large-scale random forest language models for speech recognition

Yi Su, Sanjeev Khudanpur, Frederick Jelinek, 2007, INTERSPEECH.

A Comparative Study of Word Co-occurrence for Term Clustering in Language Model-based Sentence Retrieval

Dietrich Klakow, Sanjeev Khudanpur, Saeedeh Momtazi, 2010, NAACL.

Bayesian Models for Unit Discovery on a Very Low Resource Language

Mark Hasegawa-Johnson, Lukás Burget, François Yvon, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Output-Gate Projected Gated Recurrent Unit for Speech Recognition

Yonghong Yan, Lu Huang, Sanjeev Khudanpur, 2018, INTERSPEECH.

Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI

Yiming Wang, Sanjeev Khudanpur, Daniel Povey, 2016, INTERSPEECH.

Syntactic heads in statistical language modeling

Jun Wu, Sanjeev Khudanpur, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Practical and efficient incorporation of syntactic features into statistical language models

Ariya Rastrow, Sanjeev Khudanpur, S. Khudanpur, 2012 .

Pronunciation modeling for conversational speech recognition

Sanjeev Khudanpur, Frederick Jelinek, Murat Saraclar, 2001 .

Structure and performance of a dependency language model

Andreas Stolcke, Dekai Wu, Ronald Rosenfeld, 1997, EUROSPEECH.

Web derived pronunciations for spoken term detection

Bhuvana Ramabhadran, Sanjeev Khudanpur, Michael Riley, 2009, SIGIR.

Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI

Sanjeev Khudanpur, Daniel Povey, Vimal Manohar, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mandarin-English Information (MEI): investigating translingual speech retrieval

Jianqiang Wang, Douglas W. Oard, Hsin-Min Wang, 2004, Comput. Speech Lang..

WEB-derived pronunciations

Sanjeev Khudanpur, Michael Riley, Martin Jansche, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multilingual Language Modeling

Sanjeev Khudanpur, 2006 .

Making MIRACLEs: Interactive translingual search for Cebuano and Hindi

Anton Leuski, Douglas W. Oard, Philip Resnik, 2003, TALIP.

Joint Visual-Text Modeling for Multimedia Retrieval

Giridharan Iyengar, Dietrich Klakow, Shi Feng, 2004 .

Hidden Markov models for automatic annotation and content-based retrieval of images and video

Sanjeev Khudanpur, Pavel Ircing, Arnab Ghoshal, 2005, SIGIR '05.

Multilingual Spoken Term Detection: Finding and Testing New Pronunciations

Bhuvana Ramabhadran, Richard Sproat, Sanjeev Khudanpur, 2008 .

Sample selection for automatic language identification

Sanjeev Khudanpur, Christopher M. White, David Farris, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Self-supervised discriminative training of statistical language models

Sanjeev Khudanpur, Puyang Xu, Damianos Karakos, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

Hynek Hermansky, Ariya Rastrow, Lukás Burget, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Modeling data-source variability for content-based video retrieval using hidden markov models

Sanjeev Khudanpur, Arnab Ghoshal, 2009 .

Context-dependent point process models for keyword search and detection-based ASR

Aren Jansen, Sanjeev Khudanpur, Chunxi Liu, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatically learning speaker-independent acoustic subword units

Sanjeev Khudanpur, Balakrishnan Varadarajan, 2008, INTERSPEECH.

Highway long short-term memory RNNS for distant speech recognition

Yu Zhang, Kaisheng Yao, James R. Glass, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora pdf

Sanjeev Khudanpur, Philipp Koehn, Gaurav Kumar, 2021, WMT.

LET-Decoder: A WFST-Based Lazy-Evaluation Token-Group Decoder With Exact Lattice Generation

Lei Xie, Sanjeev Khudanpur, Daniel Povey, 2021, IEEE Signal Processing Letters.

Learning Policies for Multilingual Training of Neural Machine Translation Systems pdf

Sanjeev Khudanpur, Philipp Koehn, Gaurav Kumar, 2021, ArXiv.

Joint speaker diarization and speech recognition based on region proposal networks

Shinji Watanabe, Marc Delcroix, Sanjeev Khudanpur, 2021, Comput. Speech Lang..

A Parallelizable Lattice Rescoring Strategy with Neural Language Models

Sanjeev Khudanpur, Daniel Povey, Ke Li, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap pdf

Shinji Watanabe, Sanjeev Khudanpur, Shota Horiguchi, 2021, arXiv.org.

Lhotse: a speech data representation library for the modern deep learning ecosystem pdf

Sanjeev Khudanpur, Daniel Povey, Piotr Zelasko, 2021, ArXiv.

Adversarial Attacks and Defenses for Speech Recognition Systems pdf

Sanjeev Khudanpur, Najim Dehak, Sonal Joshi, 2021, ArXiv.

Injecting Text and Cross-Lingual Supervision in Few-Shot Learning from Self-Supervised Models pdf

Sanjeev Khudanpur, Matthew Wiesner, Desh Raj, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem pdf

Sanjeev Khudanpur, Desh Raj, 2021, Interspeech 2021.

An Asynchronous WFST-Based Decoder for Automatic Speech Recognition

Lei Xie, Sanjeev Khudanpur, Daniel Povey, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Wake Word Detection with Streaming Transformers

Lei Xie, Sanjeev Khudanpur, Daniel Povey, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small Step

Shinji Watanabe, Sanjeev Khudanpur, Jing Shi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Curricula for Multilingual Neural Machine Translation Training

Philipp Koehn, Sanjeev Khudanpur, Gaurav Kumar, 2021, MTSUMMIT.

End-to-End Language Diarization for Bilingual Code-Switching Speech

Justin Dauwels, Sanjeev Khudanpur, Andy W. H. Khong, 2021, Interspeech.

Speaker Verification-Based Evaluation of Single-Channel Speech Separation

Shinji Watanabe, Sanjeev Khudanpur, Matthew Maciejewski, 2021, Interspeech 2021.

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio pdf

Xiangang Li, Shinji Watanabe, Xuchen Yao, 2021, Interspeech.

Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition

Sanjeev Khudanpur, Jan Trmal, Mousmita Sarma, 2021, Interspeech.

Updated MINDS Report on Speech Recognition and Understanding, Part 2

James R. Glass, Chin-Hui Lee, Li Deng, 2009 .