Rajesh Kumar Aggarwal

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Transfer Learning

Language Modeling

Discriminatively Trained

Top Venues

J. Intell. Syst.

Int. J. Speech Technol.

J. Ambient Intell. Humaniz. Comput.

IFAC J. Syst. Control.

Publications

Mamta Ghalan, Rajesh Kumar Aggarwal
Novel Human Activity Recognition by graph engineered ensemble deep learning model. IFAC J. Syst. Control. 27 (2024)
Nidhi Sharma, Priyanka Ahlawat, Rajesh Kumar Aggarwal
Artificial intelligence enabled 5G-NR optimisation. Int. J. Sens. Networks 42 (1) (2023)
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) (2022)
Mamta Ghalan, Rajesh Kumar Aggarwal
Daily life human activities recognition using a novel AR-DenseNet. Concurr. Comput. Pract. Exp. 34 (22) (2022)
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) (2022)
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) (2021)
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) (2020)
Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas
Optimizing Integrated Features for Hindi Automatic Speech Recognition System. J. Intell. Syst. 29 (1) (2020)
Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas
Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling. J. Intell. Syst. 29 (1) (2020)
Vishal Passricha, Rajesh Kumar Aggarwal
A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition. J. Intell. Syst. 29 (1) (2020)
Ankit Kumar, Rajesh Kumar Aggarwal
A hybrid CNN-LiGRU acoustic modeling using raw waveform sincnet for Hindi ASR. Comput. Sci. 21 (4) (2020)
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) (2020)
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) (2019)
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) (2019)
Vishal Passricha, Rajesh Kumar Aggarwal
Convolutional support vector machines for speech recognition. Int. J. Speech Technol. 22 (3) (2019)
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) (2019)
Vishal Passricha, Rajesh Kumar Aggarwal
PSO-based optimized CNN for Hindi ASR. Int. J. Speech Technol. 22 (4) (2019)
Shubhanshi Singhal, Pooja Sharma, Rajesh Kumar Aggarwal, Vishal Passricha
A Global Survey on Data Deduplication. Int. J. Grid High Perform. Comput. 10 (4) (2018)
Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas
Discriminative Training using Heterogeneous Feature Vector for Hindi Automatic Speech Recognition System. ICCA (2017)
Rajesh Kumar Aggarwal, Mayank Dave
Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system. Telecommun. Syst. 52 (3) (2013)
Rajesh Kumar Aggarwal, Mayank Dave
Filterbank optimization for robust ASR using GA and PSO. Int. J. Speech Technol. 15 (2) (2012)
Rajesh Kumar Aggarwal, Mayank Dave
Integration of multiple acoustic and language models for improved Hindi speech recognition system. Int. J. Speech Technol. 15 (2) (2012)
Rajesh Kumar Aggarwal, Mayank Dave
Acoustic modeling problem for automatic speech recognition system: advances and refinements (Part II). Int. J. Speech Technol. 14 (4) (2011)
Rajesh Kumar Aggarwal, Mayank Dave
Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I). Int. J. Speech Technol. 14 (4) (2011)
Rajesh Kumar Aggarwal, Mayank Dave
Tied Mixture Modeling in Hindi Speech Recognition System. ICT (2010)
Rajesh Kumar Aggarwal, Mayank Dave
Implementing a Speech Recognition System Interface for Indian Languages. IJCNLP (2008)