litlas
Log inCreate account

Sanjeev Khudanpur

Active 1997–2026

330
Papers
31,299
Citations
59
h-index
171
i10-index

Citations

Citations per year for Sanjeev Khudanpur1972: 1 citations1990: 1 citations1992: 1 citations1995: 2 citations1997: 3 citations1998: 13 citations1999: 27 citations2000: 34 citations2001: 29 citations2002: 29 citations2003: 59 citations2004: 92 citations2005: 94 citations2006: 98 citations2007: 106 citations2008: 117 citations2009: 142 citations2010: 205 citations2011: 262 citations2012: 267 citations2013: 286 citations2014: 452 citations2015: 621 citations2016: 757 citations2017: 1,154 citations2018: 1,668 citations2019: 2,525 citations2020: 3,012 citations2021: 3,221 citations2022: 2,404 citations2023: 2,184 citations2024: 1,876 citations2025: 1,510 citations2026: 309 citations1973–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1993–1994: no citations, so these years are not shown1996: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,224 citing papers, 21.7% of this breakdownChina: 3,906 citing papers, 20% of this breakdownUnited Kingdom: 1,253 citing papers, 6.4% of this breakdownJapan: 955 citing papers, 4.9% of this breakdownGermany: 834 citing papers, 4.3% of this breakdownIndia: 831 citing papers, 4.3% of this breakdownFrance: 669 citing papers, 3.4% of this breakdownSouth Korea: 553 citing papers, 2.8% of this breakdownCanada: 485 citing papers, 2.5% of this breakdownSingapore: 440 citing papers, 2.3% of this breakdownTaiwan: 439 citing papers, 2.2% of this breakdownHong Kong: 384 citing papers, 2% of this breakdown
0%21.7%Other 23.2%

Institutions

Fields

  • Computer Science87.2%
  • Engineering3.2%
  • Medicine2.7%
  • Psychology2.1%
  • Social Sciences0.8%
  • Biochemistry, Genetics and Molecular Biology0.8%
  • Other3.2%

Topics

  • Speech Recognition and Synthesis18.2%
  • Speech and Audio Processing12.1%
  • Natural Language Processing Techniques10.3%
  • Music and Audio Processing9.9%
  • Topic Modeling9%
  • Speech and dialogue systems2.8%
  • Other37.7%

Coauthors

All papers

Open in search
  1. Librispeech: An ASR corpus based on public domain audio books

    Authors: Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 cited by 5,986

  2. X-Vectors: Robust DNN Embeddings for Speaker Recognition

    Authors: David Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, Sanjeev Khudanpur - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018 cited by 2,662

  3. Recurrent neural network based language model

    Authors: Tomás Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur - Interspeech 2010 cited by 5,421

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

    Authors: Tom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L. Seltzer, Sanjeev Khudanpur - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017 cited by 917

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

    Authors: Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan - arXiv (Cornell University), CoRR 2021 cited by 189

  6. Audio augmentation for speech recognition

    Authors: Tom Ko, Vijayaditya Peddinti, Daniel Povey, Sanjeev Khudanpur - Interspeech 2015 cited by 1,148

  7. GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10, 000 Hours of Transcribed Audio

    Authors: Guoguo Chen, Shuzhou Chai, Guan-Bo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Zhao You, Zhiyong Yan - Interspeech 2021 cited by 201

  8. Deep Neural Network Embeddings for Text-Independent Speaker Verification

    Authors: David Snyder, Daniel Garcia-Romero, Daniel Povey, Sanjeev Khudanpur - Interspeech 2017 cited by 751

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

    Authors: Vijayaditya Peddinti, Daniel Povey, Sanjeev Khudanpur - Interspeech 2015 cited by 1,002

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

    Authors: Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2017 cited by 289

  11. Speaker Recognition for Multi-speaker Conversations Using X-vectors

    Authors: David Snyder, Daniel Garcia-Romero, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur - ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 cited by 313

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

    Authors: Daniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu, Mahsa Yarmohammadi, Sanjeev Khudanpur - Interspeech 2018 cited by 472

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

    Authors: Samuele Cornell, Matthew S. Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Leibny Paola Garcia, Yoshiki Masuyam, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur - International Workshop on Speech Processing in Everyday Environments (CHiME 2023) 2023 cited by 53

  14. Extensions of recurrent neural network language model

    Authors: Tomás Mikolov, Stefan Kombrink, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011 cited by 1,603

  15. CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings

    Authors: Shinji Watanabe, Michael Mandel, Jon Barker, Emmanuel Vincent, Ashish Arora, Xuankai Chang, Sanjeev Khudanpur, Vimal Manohar, Daniel Povey, Desh Raj, David Snyder, Aswin Shanmugam Subramanian, Jan Trmal, Bar Ben Yair, Christoph Boeddeker, Zhaoheng Ni, Yusuke Fujita, Shota Horiguchi, Naoyuki Kanda, Takuya Yoshioka, Neville Ryant - International Workshop on Speech Processing in Everyday Environments (CHiME 2020) 2020 cited by 258

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

    Authors: Daniel Povey, Vijayaditya Peddinti, Daniel Galvez, Pegah Ghahremani, Vimal Manohar, Xingyu Na, Yiming Wang, Sanjeev Khudanpur - Interspeech 2016 cited by 795

  17. Spoken Language Recognition using X-vectors

    Authors: David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Daniel Povey, Sanjeev Khudanpur - The Speaker and Language Recognition Workshop (Odyssey 2018) 2018 cited by 235

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

    Authors: David Snyder, Pegah Ghahremani, Daniel Povey, Daniel Garcia-Romero, Yishay Carmiel, Sanjeev Khudanpur - IEEE Spoken Language Technology Workshop (SLT) 2016 cited by 372

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

    Authors: Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Leibny Paola Garcia, Maciejewski, Matthew, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur - arXiv (Cornell University), CoRR 2023 cited by 24

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

    Authors: Piotr Zelasko, Daniel Povey, Jan "Yenda" Trmal, Sanjeev Khudanpur - arXiv (Cornell University), CoRR 2021 cited by 23

  21. Benchmarking Language Model Creativity: A Case Study on Code Generation

    Authors: Yining Lu, Dixuan Wang, Tianjian Li, Dongwei Jiang, Sanjeev Khudanpur, Meng Jiang, Daniel Khashabi - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 cited by 19

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

    Authors: Gregory Sell, David Snyder, Alan McCree, Daniel Garcia-Romero, Jesús Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur - Interspeech 2018 cited by 218

  23. Probing the Information Encoded in X-Vectors

    Authors: Desh Raj, David Snyder, Daniel Povey, Sanjeev Khudanpur - IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2019 cited by 59

  24. HLTCOE JHU Submission to the Voice Privacy Challenge 2024

    Authors: Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola Garcia, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner - Symposium on Security and Privacy in Speech Communication 2024 cited by 15