S. Khudanpur

发表

Recurrent neural network based language model

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

On projections of Gaussian distributions using maximum likelihood criteria

S. Khudanpur, Haolang Zhou, D. Karakos, 2009, 2009 Information Theory and Applications Workshop.

Self-supervised discriminative training of statistical language models

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

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).

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

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

Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

James R. Glass, D. O'Shaughnessy, Li Deng, 2009, IEEE Signal Processing Magazine.

Updated Minds Report on Speech Recognition and Understanding, Part 2 Citation Baker, J. Et Al. " Updated Minds Report on Speech Recognition and Understanding, Part 2 [dsp Education]. " Signal Processing Accessed Terms of Use

James R. Glass, Li Deng, Chin-Hui Lee, 2022 .

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).

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).

Parallel training of DNNs with Natural Gradient and Parameter Averaging

Sanjeev Khudanpur, Daniel Povey, Xiaohui Zhang, 2014 .

JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling

Henry C. Lin, R. Vidal, S. Khudanpur, 2014 .

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

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

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).

Efficient Subsampling for Training Complex Language Models

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

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

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

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

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

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

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

Large-scale Discriminative n-gram Language Models for Statistical Machine Translation

S. Khudanpur, Zhifei Li, 2008, AMTA.

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).

A Smorgasbord of Features for Statistical Machine Translation

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

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

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

Desparately Seeking Cebuano

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

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation

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

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).

Sequential system combination for machine translation of speech

S. Khudanpur, D. Karakos, 2008, 2008 IEEE Spoken Language Technology Workshop.

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.

Variational Decoding for Statistical Machine Translation

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

WS96 project report: Automatic learning of word pronunciation from data

Mitch Weintraub, Sanjeev Khudanpur, Murat Saraclar, 1997 .

Maximum Entropy Language Modeling with Non-local and Syntactic Dependencies

S. Khudanpur, Jun Wu, 2002 .

The Johns Hopkins University 2003 Chinese-English machine translation system

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

Automatic Learning of Word Pronunciation from Data

Mitch Weintraub, Sanjeev Khudanpur, Murat Saraclar, 1996 .

Maximum Likelihood Set for Estimating a Probability Mass Function

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

A keyword search system using open source software

David Yarowsky, Xiaohui Zhang, Florian Metze, 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).

Characterizing spatial construction processes: Toward computational tools to understand cognition

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

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.

The Kaldi OpenKWS System: Improving Low Resource Keyword Search

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

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).

Unsupervised Arabic Dialect Adaptation with Self-Training

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

Generative Content Models for Structural Analysis of Medical Abstracts

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

Deep Neural Network Embeddings for Text-Independent Speaker Verification

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

Discriminative training and variational decoding in machine translation via novel algorithms for weighted hypergraphs

S. Khudanpur, Zhifei Li, 2010 .

Estimating Probabilities from Small Samples

S. Khudanpur, B. Jedynak, A. Yazgan, 2022 .

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

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

Wake Word Detection with Alignment-Free Lattice-Free MMI

S. Khudanpur, Daniel Povey, Lei Xie, 2020, INTERSPEECH.

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.

Explorer Continuous space discriminative language modeling

S. Khudanpur, I. Shafran, D. Karakos, 2022 .

Maximum entropy language modeling with non-local dependencies

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

On the minimization of concave information functionals for unsupervised classification via decision trees

S. Khudanpur, D. Karakos, C. Priebe, 2008 .

Translations of the Callhome Egyptian Arabic corpus for conversational speech translation

S. Khudanpur, Daniel Povey, Chris Callison-Burch, 2014, IWSLT.

Data-Driven Statistical Models for Computer Integrated Surgery

S. Khudanpur, Gregory Hager, C. Reiley, 2011 .

Two Self-supervised Learning Techniques for Speech Recognition

S. Khudanpur, Puyang Xu, Haolang Zhou, 2010 .

Recovery from Model Inconsistency in Multilingual Speech Recognition Report from JHU workshop 2007

Christopher M. White, L. Burget, S. Khudanpur, 2022 .

JHU IWSLT 2022 Dialect Speech Translation System Description

S. Khudanpur, Matthew Wiesner, A. Hussein, 2022, IWSLT.

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

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

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

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

LATTICE-RESCORING ALGORITHM FOR AUTOMATIC SPEECH RECOGNITION

S. Khudanpur, Daniel Povey, N. Goel, 2017 .

International Workshop on Spoken Language Translation (IWSLT 2013)

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

Joint Visual-Text Modeling for Multimedia Retrieval

Giridharan Iyengar, Dietrich Klakow, Shi Feng, 2004 .

Hidden Markov Models for Image and Video Retrieval Using Textual Queries

S. Khudanpur, P. Ircing, Arnab Ghoshal, 2022 .

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

James R. Glass, J. Baker, L. Deng, 2022 .

Combining local and broad topic context to improve term detection

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

Adapting self-supervised models to multi-talker speech recognition using speaker embeddings

Leibny Paola García-Perera, S. Khudanpur, Paola Garc'ia, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition

S. A. Chowdhury, S. Khudanpur, Ahmed M. Ali, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

Mandarin-English Information: Investigating Translingual Speech Retrieval

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

Learning Policies for Multilingual Training of Neural Machine Translation Systems

S. Khudanpur, Philipp Koehn, G. Kumar, 2021, ArXiv.

Learning Curricula for Multilingual Neural Machine Translation Training

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

Audio augmentation for speech recognition

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

Practical and efficient incorporation of syntactic features into statistical language models

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

End-to-end Deep Neural Network Age Estimation

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

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).

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

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

GPU-accelerated Guided Source Separation for Meeting Transcription

S. Khudanpur, Daniel Povey, Desh Raj, 2022, ArXiv.

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).

Acoustic Modelling from the Signal Domain Using CNNs

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

An investigation of acoustic models for multilingual code-switching

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

Syntax for Statistical Machine Translation

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

Stochastic pronunciation modelling from hand-labelled phonetic corpora

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

Updated MINDS Report on Speech Recognition and Understanding, Part 2

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

Historical Development and Future Directions in Speech Recognition and Understanding

James R. Glass, J. Baker, L. Deng, 2007 .

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.

Constraints and Development in Children's Block Construction

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

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.

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).

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

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

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

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

Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs

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

Automatic Recognition of Surgical Motions Using Statistical Modeling for Capturing Variability

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

Spoken Language Recognition using X-vectors

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

Joint speaker diarization and speech recognition based on region proposal networks

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

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

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

Investigating Self-Supervised Learning for Speech Enhancement and Separation

Leibny Paola García-Perera, S. Khudanpur, Shinji Watanabe, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

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).

DOVER-Lap: A Method for Combining Overlap-Aware Diarization Outputs pdf

Andreas Stolcke, Desh Raj, Zili Huang, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

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).

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

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

The JHU Speaker Recognition System for the VOiCES 2019 Challenge

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

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).

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).

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).

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

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

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).

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).

Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization

Andy W. H. Khong, Leibny Paola Garcia, S. Khudanpur, 2022, IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

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

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).

Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition

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

Adversarial Attacks and Defenses for Speech Recognition Systems pdf

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

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).

Building Keyword Search System from End-To-End Asr Systems

Leibny Paola García-Perera, S. Khudanpur, Daniel Povey, 2023, IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

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

The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge pdf

Desh Raj, Sanjeev Khudanpur, Shinji Watanabe, 2020, 6th International Workshop on Speech Processing in Everyday Environments (CHiME 2020).

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).

Wake Word Detection with Alignment-Free Lattice-Free MMI pdf

Lei Xie, Sanjeev Khudanpur, Yiming Wang, 2020, 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).

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser

S. Khudanpur, Piotr Żelasko, J. Villalba, 2022, ArXiv.

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

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

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).

Translations of the Callhome Egyptian Arabic corpus for conversational speech translation

S. Khudanpur, Daniel Povey, Chris Callison-Burch, 2014, IWSLT.

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).

Efficient Self-Supervised Learning Representations for Spoken Language Identification

Andy W. H. Khong, Leibny Paola García-Perera, S. Khudanpur, 2022, IEEE Journal of Selected Topics in Signal Processing.

PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification

Andy W. H. Khong, Leibny Paola García Perera, S. Khudanpur, 2022, INTERSPEECH.

Improving LF-MMI Using Unconstrained Supervisions for ASR

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

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).

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

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

A GPU-based WFST Decoder with Exact Lattice Generation pdf

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

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.

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.

Large-scale random forest language models for speech recognition

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

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

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

Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural Network

Sanjeev Khudanpur, Daniel Povey, Fei Wu, 2019, INTERSPEECH.

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.

The JHU ASR System for VOiCES from a Distance Challenge 2019

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

Probing the Information Encoded in X-Vectors

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

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).

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

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

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

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

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).

Topic Identification for Speech Without ASR

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

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).

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).

Building Speech Recognition System from Untranscribed Data Report from JHU workshop 2016

L. Burget, S. Khudanpur, Graham Neubig, 2016 .

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).

Multi-PLDA Diarization on Children's Speech

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

Unsupervised Learning of Acoustic Sub-word Units

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

Transliteration of Proper Names in Cross-Lingual Information Retrieval

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

Large-scale Discriminative n-gram Language Models for Statistical Machine Translation

S. Khudanpur, Zhifei Li, 2008, AMTA.

Structure and performance of a dependency language model

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

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

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

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

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

Making MIRACLEs: Interactive translingual search for Cebuano and Hindi

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

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

S. Khudanpur, S. Squartini, Shinji Watanabe, 2023, ArXiv.

EURO: ESPnet Unsupervised ASR Open-source Toolkit

Leibny Paola García-Perera, S. Khudanpur, Hung-yi Lee, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transliteration of proper names in cross-language applications

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

Imperial College and Johns Hopkins University at TRECVID

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

Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation

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

JHU IWSLT 2023 Multilingual Speech Translation System Description

S. Khudanpur, Matthew Wiesner, Neha Verma, 2023, IWSLT.

Low-Resource Contextual Topic Identification on Speech

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

Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts

Leibny Paola Garcia, S. Khudanpur, Daniel Povey, 2023, Interspeech.

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.

Machine Translation System Combination using ITG-based Alignments

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

Sample Selection for Large-scale MT Discriminative Training

Yuan Cao, Sanjeev Khudanpur, S. Khudanpur, 2012, AMTA.

Output-Gate Projected Gated Recurrent Unit for Speech Recognition

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

An Exploration of Dropout with LSTMs

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

Efficient MDI Adaptation for n-gram Language Models

Sanjeev Khudanpur, Ke Li, Ruizhe Huang, 2020, INTERSPEECH.

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).

Sample selection for automatic language identification

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

An Alternative to MFCCs for ASR

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

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem

S. Khudanpur, Desh Raj, 2021, Interspeech.

Pronunciation and silence probability modeling for ASR

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

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

S. Khudanpur, Gregory Hager, S. Vedula, 2016, Journal of surgical education.

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

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

Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora pdf

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

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

S. Khudanpur, S. Squartini, Shinji Watanabe, 2023, 7th International Workshop on Speech Processing in Everyday Environments (CHiME 2023).

GPU-accelerated Guided Source Separation for Meeting Transcription

S. Khudanpur, Daniel Povey, Desh Raj, 2022, INTERSPEECH 2023.

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

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

Updated MINDS report on speech recognition and understanding, Part 2 [DSP Education]

S. Khudanpur, J. Baker, Li Deng, 2009, IEEE Signal Processing Magazine.

Historical Development and Future Directions in Speech Recognition and Understanding

James R. Glass, J. Baker, L. Deng, 2007 .

on Speech Recognition and Understanding , Part 2

James R. Glass, J. Baker, L. Deng, 2022 .

Web derived pronunciations for spoken term detection

Christopher M. White, S. Khudanpur, B. Ramabhadran, 2009, SIGIR.

WEB-derived pronunciations

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

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 .

Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation

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

Chunking Defense for Adversarial Attacks on ASR

S. Khudanpur, J. Villalba, Saurabh Kataria, 2022, INTERSPEECH.

Using ASR Methods for OCR

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

Joint visual-text modeling for automatic retrieval of multimedia documents

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

Joshua: An Open Source Toolkit for Parsing-Based Machine Translation

Wren N. G. Thornton, S. Khudanpur, Chris Callison-Burch, 2009, WMT@EACL.

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).

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

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

Forest Reranking for Machine Translation with the Perceptron Algorithm

Sanjeev Khudanpur, Zhifei Li, S. Khudanpur, 2009 .

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

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

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

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