A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Graphical abstract Abstract This paper presents a fast adaptation technique to build a hidden Markov model (HMM) based dialectal speech synthesis acoustic model. Standard Malay is used as a source language whereas Kelantanese Malay is chosen to be target language in this study. Kelantan dialect is a Malay dialect from the northeast of Peninsular Malaysia. One of the most important steps and time consuming in building a HMM acoustic model is the alignment of speech sound. A good alignment willdoi:10.11113/jt.v77.6514 fatcat:264q4cc6ujbdzchid5nsyxsqwy