  We propose a method of simulating the human process of foreign accentuation
using Generative Spoken Language Model (GSLM) only with native speech corpora.
When one listens to spoken words of a foreign language and repeats them, the
repeated speech is often with the accent of that listener's L1. This is said to
be because the spoken words are mentally represented as a sequence of
phonological units of the L1, and those units are used for oral reproduction.
We simulate this process by inputting speech of language A into GSLM of
language B to add B's accent onto the input speech. The process of running ASR
of the L1 for foreign input speech and giving the ASR result to TTS of the L1
can be viewed as a naive implementation of this approach. The results of our
experiments show that the synthesized accent of the output speech is highly
natural, compared to real samples of A generated by speakers whose L1 is B, and
that the degree of accentuation is controllable.
