Abstract: “As Punjabi language is one of the most widely used languages in media and communication, its speech recognition is need of the hour. Hence, survey has been carried out for Punjabi speech recognition. In this, work has been carried out from boundary detection of isolated word recognition from Historical Perspective to that of present scenario. However, this has been limitAs Punjabi language is one of the most widely used languages in media and communication, its speech recognition is need of the hour. Hence, survey has been carried out for Punjabi speech recognition. In this, work has been carried out from boundary detection of isolated word recognition from Historical Perspective to that of present scenario. However, this has been limited to constraints and assumptions. This paper discusses the related work and future challenges.ed to constraints and assumptions. This paper discusses the related work and future challenges.”

Keywords: Automatic Speech Recognition, Punjabi language, Hidden Markov Model, Dynamic Time Wrapping, MFCC, LPC.