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Sanjeev Khudanpur
Information-Theoretic Methods
Automatic Speech Recognition (ASR)
Machine Translation (MT)
Natural Language Processing (NLP)
About
Sanjeev P. Khudanpur, an associate professor of electrical and computer engineering, is an expert in the application of information-theoretic methods to human language technologies, such as automatic speech recognition, machine translation, and natural language processing. He has a secondary appointment in the Department of Computer Science, is a member of the Center for Language and Speech Processing, and is affiliated with the Human Language Technology Center of Excellence.
He received a BTech in Electrical Engineering at the Indian Institute of Technology in 1988 and a PhD in Electrical and Computer Engineering at the University of Maryland College Park in 1997.
Research Performance Summary
1996-2026
Active Research Span
First Recorded Paper
Automatic learning of word pronunciation from data
Year:
1996
Citations:
42
Venue:
Proc. ICSLP
Latest Recorded Paper
SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2601.19194
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Khudanpur
Povey
Research Impact by Period
Papers
16
Citations
72
Avg. Citations / Paper
4.5
H-Index
5
Papers
82
Citations
2321
Avg. Citations / Paper
28.3
H-Index
22
Papers
95
Citations
26734
Avg. Citations / Paper
281.4
H-Index
43
Papers
53
Citations
13523
Avg. Citations / Paper
255.2
H-Index
21
Papers
50
Citations
2129
Avg. Citations / Paper
42.6
H-Index
22
Papers
33
Citations
1855
Avg. Citations / Paper
56.2
H-Index
19
Papers
17
Citations
710
Avg. Citations / Paper
41.8
H-Index
12
Contact and Professional Links
Detected Research Keywords
Automatic Speech Recognition
Conversational Speech Recognition
Discriminative Language Modeling
Lattice Free Mmi
Parsing Machine Translation
Maximum Entropy Language
Language Model Adaptation
Neural Network Language
Statistical Machine Translation
Speech Recognition Understanding