>Built from scratch an ASR system in my mother tongue, Hindi using the toolkits: HTK and Kaldi >Coded various acoustic models- Monophone-HMM system, Triphone-HMM system, DNN-HMM system and used a bi-gram language model.Performed the steps: Data Collection(150 sentences*7 speakers), Lexicon Building, Feature Extraction, HMM parameters initialization, Baum-Welch re-estimation, fixing the silence model, realigning training data, graph building and decoding. Obtained Word Error Rate of 2.39% >Keywords: Automatic Speech Recognition, Kaldi, HTK, HMM, DNN, GMM