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Naveen Parihar
Naveen Parihar
Ph.D., Speech Science, Microsoft
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Aurora working group: DSR front end LVCSR evaluation AU/384/02
N Parihar, J Picone
Mississippi State University, 2002
235*2002
Performance analysis of the Aurora large vocabulary baseline system
N Parihar, J Picone, D Pearce, HG Hirsch
2004 12th European Signal Processing Conference, 553-556, 2004
168*2004
Performance analysis of the Aurora large vocabulary baseline system
N Parihar, J Picone, D Pearce, HG Hirsch
Proceedings of the 12th European Signal Processing Conference, 2004
168*2004
DSR Front End LVCSR Evaluation-AU/384/02
N Parihar, J Picone
Aurora Working Group, European Telecommunications Standards Institute …, 2002
192002
Performance analysis of advanced front ends on the Aurora Large Vocabulary Evaluation
N Parihar
Mississippi State University, 2003
112003
Generalized Hierarchical Search in the ISIP ASR System
B Jelinek, F Zheng, N Parihar, J Hamaker, J Picone
Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems …, 2001
92001
DSR front end LVCSR evaluation-baseline recognition system description
N Parihar
Aurora Working Group, European Telecommunications Standards Institute (ETSI …, 2001
72001
A lexical-tree division-based approach to parallelizing a cross-word speech decoder for multi-core processors
N Parihar, EA Hansen
2008 16th European Signal Processing Conference, 1-5, 2008
62008
Method and system for hybrid decoding for enhanced end-user privacy and low latency
CB Quillen, N Parihar
US Patent 9,761,227, 2017
52017
Parallel lexical-tree based lvcsr on multi-core processors
N Parihar, R Schlüter, D Rybach, EA Hansen
Eleventh Annual Conference of the International Speech Communication Association, 2010
52010
Parallel fast likelihood computation for LVCSR using mixture decomposition.
N Parihar, R Schlüter, D Rybach, EA Hansen
INTERSPEECH, 3047-3050, 2009
52009
Smart speech segmentation using acousto-linguistic features with look-ahead
P Behre, N Parihar, S Tan, A Shah, E Sharma, G Liu, S Chang, H Khalil, ...
arXiv preprint arXiv:2210.14446, 2022
42022
GMM and kernel-based speaker recognition with the ISIP toolkit
T Imbiriba, A Klautau, N Parihar, S Raghavan, J Picone
Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine …, 2004
32004
Adaptive batching to reduce recognition latency
HA Khalil, EY Stoimenov, Y Gong, C Liu, CH Basoglu, AK Agarwal, ...
US Patent 11,183,178, 2021
22021
Method and system for hybrid decoding for enhanced end-user privacy and low latency
CB Quillen, N Parihar
US Patent 10,803,871, 2020
12020
Analysis of a parallel lexical-tree-based speech decoder for multi-core processors
N Parihar, EA Hansen
2009 17th European Signal Processing Conference, 2509-2513, 2009
12009
Adaptive batching to reduce recognition latency
HA Khalil, EY Stoimenov, Y Gong, C Liu, CH Basoglu, AK Agarwal, ...
US Patent 11,705,117, 2023
2023
Parallel viterbi search for continuous speech recognition on a multi-core architecture
N Parihar
2009
PERFORMANCE ANALYSIS OF ADVANCED NOISE ROBUST FRONT-ENDS IN DISTRIBUTED SPEECH RECOGNITION FRAMEWORK
N Parihar
Mississippi State University, 2003
2003
PERFORMANCE ANALYSIS OF THE AURORA LARGE VOCABULARY BASELINE SYSTEM (WedAmOR2)
N Parihar, J Picone, D Pearce, HG Hirsch
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