Affiliations: [a] ECE, Thejus Engineering College, Thrissur, India | [b] ECE, Kumaraguru College of Technology, Coimbatore, India | [c] ECE, Sathyabama University, Chennai, India
Abstract: Recognition of human speech has long been an intriguing issue among artificial intelligence and processing researchers. Speech is the most crucial and essential method of communication among the human beings. Several research efforts have been prepared in the field of speech recognition in the previous decades. Accordingly, a survey of speech recognition strategies suitable for human identification is discussed in this study. The main motivation of this survey is to explore the existing speech recognition strategies so that the researchers can include all the necessary metrics in their works in this domain and the limitations in the existing ones can be overcome. In this review, diverse issues included in speech recognition methodologies is distinguished and distinctive speech recognition procedures were studied to discover which qualities is tended to in a given system and which is disregarded. Hence, we offer a detailed survey of 50 methods from standard publishers from the year of 2000 to 2015. Here, we categorize the research based on three dissimilar perspectives, like techniques utilized, applications and parameter measures. In addition, this study gives an elaborate idea about speech recognition techniques.
