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Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling., , and . J. Intell. Syst., 29 (1): 327-344 (2020)Optimizing Integrated Features for Hindi Automatic Speech Recognition System., , and . J. Intell. Syst., 29 (1): 959-976 (2020)A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition., and . J. Intell. Syst., 29 (1): 1261-1274 (2020)Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system., and . Telecommun. Syst., 52 (3): 1457-1466 (2013)An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition., and . J. Reliab. Intell. Environ., 8 (2): 117-132 (2022)A hybrid CNN-LiGRU acoustic modeling using raw waveform sincnet for Hindi ASR., and . Comput. Sci., (2020)Tied Mixture Modeling in Hindi Speech Recognition System., and . ICT, volume 101 of Communications in Computer and Information Science, page 514-519. Springer, (2010)Multi-level region-of-interest CNNs for end to end speech recognition., , , and . J. Ambient Intell. Humaniz. Comput., 10 (11): 4615-4624 (2019)A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective., and . Soc. Netw. Anal. Min., 10 (1): 43 (2020)Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I)., and . I. J. Speech Technology, 14 (4): 297 (2011)