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ORCIDRajesh Kumar Aggarwal
Person information
- affiliation: National Institute of Technology, Kurukshetra, Haryana, India
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Journal Articles
- 2023
[j22]Nidhi Sharma, Priyanka Ahlawat, Rajesh Kumar Aggarwal:
Artificial intelligence enabled 5G-NR optimisation. Int. J. Sens. Networks 42(1): 41-51 (2023)- 2022
- [j21]Mamta Ghalan
, Rajesh Kumar Aggarwal:
Daily life human activities recognition using a novel AR-DenseNet. Concurr. Comput. Pract. Exp. 34(22) (2022) - [j20]Ankit Kumar, Rajesh Kumar Aggarwal:
Hindi speech recognition using time delay neural network acoustic modeling with i-vector adaptation. Int. J. Speech Technol. 25(1): 67-78 (2022) - [j19]Ankit Kumar, Rajesh Kumar Aggarwal:
An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition. J. Reliab. Intell. Environ. 8(2): 117-132 (2022) - 2021
- [j18]Ankit Kumar, Rajesh Kumar Aggarwal:
Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling. J. Intell. Syst. 30(1): 165-179 (2021) - 2020
- [j17]Ankit Kumar, Rajesh Kumar Aggarwal:
A hybrid CNN-LiGRU acoustic modeling using raw waveform sincnet for Hindi ASR. Comput. Sci. 21(4) (2020) - [j16]Vishal Passricha, Rajesh Kumar Aggarwal:
A comparative analysis of pooling strategies for convolutional neural network based Hindi ASR. J. Ambient Intell. Humaniz. Comput. 11(2): 675-691 (2020) - [j15]Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas:
Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling. J. Intell. Syst. 29(1): 327-344 (2020) - [j14]Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas:
Optimizing Integrated Features for Hindi Automatic Speech Recognition System. J. Intell. Syst. 29(1): 959-976 (2020) - [j13]Vishal Passricha, Rajesh Kumar Aggarwal:
A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition. J. Intell. Syst. 29(1): 1261-1274 (2020) - [j12]Vijay Verma, Rajesh Kumar Aggarwal:
A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective. Soc. Netw. Anal. Min. 10(1): 43 (2020) - 2019
- [j11]Vishal Passricha, Rajesh Kumar Aggarwal:
Convolutional support vector machines for speech recognition. Int. J. Speech Technol. 22(3): 601-609 (2019) - [j10]Vishal Passricha, Rajesh Kumar Aggarwal:
PSO-based optimized CNN for Hindi ASR. Int. J. Speech Technol. 22(4): 1123-1133 (2019) - [j9]Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas:
GFCC based discriminatively trained noise robust continuous ASR system for Hindi language. J. Ambient Intell. Humaniz. Comput. 10(6): 2301-2314 (2019) - [j8]Shubhanshi Singhal, Vishal Passricha, Pooja Sharma, Rajesh Kumar Aggarwal:
Multi-level region-of-interest CNNs for end to end speech recognition. J. Ambient Intell. Humaniz. Comput. 10(11): 4615-4624 (2019) - [j7]Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas:
Discriminatively trained continuous Hindi speech recognition system using interpolated recurrent neural network language modeling. Neural Comput. Appl. 31(10): 6747-6755 (2019) - 2018
- [j6]Shubhanshi Singhal, Pooja Sharma, Rajesh Kumar Aggarwal, Vishal Passricha:
A Global Survey on Data Deduplication. Int. J. Grid High Perform. Comput. 10(4): 43-66 (2018) - 2013
- [j5]Rajesh Kumar Aggarwal, Mayank Dave:
Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system. Telecommun. Syst. 52(3): 1457-1466 (2013) - 2012
- [j4]Rajesh Kumar Aggarwal, Mayank Dave:
Integration of multiple acoustic and language models for improved Hindi speech recognition system. Int. J. Speech Technol. 15(2): 165-180 (2012) - [j3]Rajesh Kumar Aggarwal, Mayank Dave:
Filterbank optimization for robust ASR using GA and PSO. Int. J. Speech Technol. 15(2): 191-201 (2012) - 2011
- [j2]Rajesh Kumar Aggarwal, Mayank Dave:
Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I). Int. J. Speech Technol. 14(4): 297 (2011) - [j1]Rajesh Kumar Aggarwal, Mayank Dave:
Acoustic modeling problem for automatic speech recognition system: advances and refinements (Part II). Int. J. Speech Technol. 14(4): 309 (2011)
Conference and Workshop Papers
- 2017
- [c3]Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas:
Discriminative Training using Heterogeneous Feature Vector for Hindi Automatic Speech Recognition System. ICCA 2017: 158-162 - 2010
- [c2]Rajesh Kumar Aggarwal, Mayank Dave:
Tied Mixture Modeling in Hindi Speech Recognition System. ICT 2010: 514-519 - 2008
- [c1]Rajesh Kumar Aggarwal, Mayank Dave:
Implementing a Speech Recognition System Interface for Indian Languages. IJCNLP 2008: 105-112
Coauthor Index
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