Abstract:
In Myanmar language, word information is
important for the naturalness of Myanmar speech
because pronunciation changes depend on word
information. In this paper, Myanmar speech
synthesis with word information has been
implemented by using CLUSTERGEN. The
comparison of the naturalness of Myanmar
synthesized speech by using HMM-based model with
syllable information and CLUSTERGEN model with
word information has been conducted based on
Comparison Mean Opinion Score (CMOS). The
results show that word information can promote the
naturalness of the synthesized speech for Myanmar
language.
