Assamese Vowel Phoneme Recognition Using Zero Crossing Rate and Short-time Energy

Speaker recognition is the identification of the person who is speaking by the characteristics of their voices. Assamese is a Indo-Aryan family of languages, mainly spoken in the North-Eastern of India. In this paper text dependent speaker modelling technique is used. The system contains training phase, the testing phase and the recognition phase. The database consists of utterance of 10 speakers with equal number of male and female speaker. Each phoneme is repeated 10 times by each speaker. The feature Zero Crossing Rate (ZCR) and Short-time Energy (STE) are used for the acoustic measures which can be helpful to design an Assamese speaker recognition system. Keywords—Speech recognition, Feature Extraction, Zero Crossing Rate, Short-time Energy, Frame.