  Metaverse expands the physical world to a new dimension, and the physical
environment and Metaverse environment can be directly connected and entered.
Voice is an indispensable communication medium in the real world and Metaverse.
Fusion of the voice with environment effects is important for user immersion in
Metaverse. In this paper, we proposed using the voice conversion based method
for the conversion of target environment effect speech. The proposed method was
named MetaSpeech, which introduces an environment effect module containing an
effect extractor to extract the environment information and an effect encoder
to encode the environment effect condition, in which gradient reversal layer
was used for adversarial training to keep the speech content and speaker
information while disentangling the environmental effects. From the experiment
results on the public dataset of LJSpeech with four environment effects, the
proposed model could complete the specific environment effect conversion and
outperforms the baseline methods from the voice conversion task.
