Continuous Speech Recognition for Punjabi Language

Abstract

Punjabi language is a tonal language belonging to an Indo-Aryan language family and has number of speakers all around the world. Punjabi language has gained acceptability in the media & communication and thereby deserves to get a pace in the growing field of automatic speech recognition which has been explored already for number of other Indian and foreign languages successfully. Some work has been done in the field of isolated word and connected word speech recognition for Punjabi language. Acoustic template matching and Vector quantization have been the supporting techniques. Continuous speech recognition is one area where no work has been done so far for Punjabi language. In this paper, an effort has been made to build automatic speech recognizer to recognize continuous speech sentences by using Tri-Phone based acoustic modeling approach on HTK 3.4.1 speech engine. Overall recognition accuracy has been found to be 82.18% at sentence level and 94.32% at word level.