Survey on Automatic Speech Recognition Systems for Indic Languages

Abstract

AbstractFor the past few decades, Automatic Speech Recognition (ASR) has gained a wide range of interest among researchers. From just identifying the digits for a single speaker to authenticating the speaker has a long history of improvisations and experiments. Human’s Speech Recognition has been fascinating problem amongst speech and natural language processing researchers. Speech is the utmost vital and indispensable way of transferring information amongst the human beings. Numerous research works have been equipped in the field of speech processing and recognition in the last few decades. Accordingly, a review of various speech recognition approaches and techniques suitable for text identification from speech is conversed in this survey. The chief inspiration of this review is to discover the prevailing speech recognition approaches and techniques in such a way that the researchers of this field can incorporate entirely the essential parameters in their speech recognition system which helps in overcoming the limitations of existing systems. In this review, various challenges involved in speech recognition process are discussed and what can be the future directives for the researchers of this field is also discussed. The typical speech recognition trials were considered to determine which metrics should be involved in the system and which can be disregarded.KeywordsSpeech recognitionAcoustic modellingHidden Markov modelDynamic time wrappingMel-frequency Cepstrum Coefficient