Speech recognition for English to Indonesian translator using hidden Markov model
Hariz Zakka Muhammad, Muhammad Nasrun, Casi Setianingsih, Muhammad Ary Murti · 2018
Communication is needed for the process of delivering information. Language is used as a communication for interacting between humans. But not everyone has the same language in communicating, there are many languages from different countries in the world. This paper describes a system that can translate a language. The translated language is English to Indonesian based on speech recognition with feature extraction using Mel Frequency Cepstral Coefficients (MFCC) and Hidden Markov Model (HMM) classification method.