Abstract
Speech has always been the most important role in our day to day communication. People used to represent our thoughts through the some known language, which may be done through human to human interaction or human to machine interaction. Human Machine Interaction (HMI) plays a vital role on interaction in speech recognition system. Speech or word by word recognition process is finishing the process of separating the speech characteristics from the pre-recorded datasets, and classifying the same characteristics. A word or speech must be forwarded to more advanced software for syntactic and semantic analysis in order to be recognized. So the speech recognition system has to find a very good feature extraction method, speech classifier and performance evaluator to recognize well in all noisy environments. Hence this paper provides the overview of challenges accepted by different researchers as well as it provides the collective information about different assessment, methodology like Hidden Markov Model and Gaussian Mixture Model with MFCC and LSTM and performance improvement given by the researchers for accepted challenges to do the speech recognition in noisy environment.
Published Version
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