Implementing a Speech Recognition System Interface for Indian Languages. - Rajesh Kumar Aggarwal; Mayank Dave (IJCNLP, 2008)

Tied Mixture Modeling in Hindi Speech Recognition System. - Rajesh Kumar Aggarwal; Mayank Dave (ICT, 2010)

Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I). - Rajesh Kumar Aggarwal; Mayank Dave (Int. J. Speech Technol., 2011)

Acoustic modeling problem for automatic speech recognition system: advances and refinements (Part II). - Rajesh Kumar Aggarwal; Mayank Dave (Int. J. Speech Technol., 2011)

Integration of multiple acoustic and language models for improved Hindi speech recognition system. - Rajesh Kumar Aggarwal; Mayank Dave (Int. J. Speech Technol., 2012)

Filterbank optimization for robust ASR using GA and PSO. - Rajesh Kumar Aggarwal; Mayank Dave (Int. J. Speech Technol., 2012)

Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system. - Rajesh Kumar Aggarwal; Mayank Dave (Telecommun. Syst., 2013)

Discriminative Training using Heterogeneous Feature Vector for Hindi Automatic Speech Recognition System. - Mohit Dua; Rajesh Kumar Aggarwal; Mantosh Biswas (ICCA, 2017)

A Global Survey on Data Deduplication. - Shubhanshi Singhal; Pooja Sharma; Rajesh Kumar Aggarwal; Vishal Passricha (Int. J. Grid High Perform. Comput., 2018)

Convolutional support vector machines for speech recognition. - Vishal Passricha; Rajesh Kumar Aggarwal (Int. J. Speech Technol., 2019)

PSO-based optimized CNN for Hindi ASR. - Vishal Passricha; Rajesh Kumar Aggarwal (Int. J. Speech Technol., 2019)

GFCC based discriminatively trained noise robust continuous ASR system for Hindi language. - Mohit Dua; Rajesh Kumar Aggarwal; Mantosh Biswas (J. Ambient Intell. Humaniz. Comput., 2019)

Multi-level region-of-interest CNNs for end to end speech recognition. - Shubhanshi Singhal; Vishal Passricha; Pooja Sharma; Rajesh Kumar Aggarwal (J. Ambient Intell. Humaniz. Comput., 2019)

Discriminatively trained continuous Hindi speech recognition system using interpolated recurrent neural network language modeling. - Mohit Dua; Rajesh Kumar Aggarwal; Mantosh Biswas (Neural Comput. Appl., 2019)

A hybrid CNN-LiGRU acoustic modeling using raw waveform sincnet for Hindi ASR. - Ankit Kumar; Rajesh Kumar Aggarwal (Comput. Sci., 2020)

A comparative analysis of pooling strategies for convolutional neural network based Hindi ASR. - Vishal Passricha; Rajesh Kumar Aggarwal (J. Ambient Intell. Humaniz. Comput., 2020)

Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling. - Mohit Dua; Rajesh Kumar Aggarwal; Mantosh Biswas (J. Intell. Syst., 2020)

Optimizing Integrated Features for Hindi Automatic Speech Recognition System. - Mohit Dua; Rajesh Kumar Aggarwal; Mantosh Biswas (J. Intell. Syst., 2020)

A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition. - Vishal Passricha; Rajesh Kumar Aggarwal (J. Intell. Syst., 2020)

A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective. - Vijay Verma; Rajesh Kumar Aggarwal (Soc. Netw. Anal. Min., 2020)

Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling. - Ankit Kumar; Rajesh Kumar Aggarwal (J. Intell. Syst., 2021)

Daily life human activities recognition using a novel AR-DenseNet. - Mamta Ghalan; Rajesh Kumar Aggarwal (Concurr. Comput. Pract. Exp., 2022)

Hindi speech recognition using time delay neural network acoustic modeling with i-vector adaptation. - Ankit Kumar; Rajesh Kumar Aggarwal (Int. J. Speech Technol., 2022)

An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition. - Ankit Kumar; Rajesh Kumar Aggarwal (J. Reliab. Intell. Environ., 2022)

Artificial intelligence enabled 5G-NR optimisation. - Nidhi Sharma; Priyanka Ahlawat; Rajesh Kumar Aggarwal (Int. J. Sens. Networks, 2023)

Novel Human Activity Recognition by graph engineered ensemble deep learning model. - Mamta Ghalan; Rajesh Kumar Aggarwal (IFAC J. Syst. Control., 2024)