A voice impersonation system is trained by deceiving a white-box automatic speaker verification model, using an ASR model to preserve content, and it performs comparably to voice conversion trained on only a few target utterances.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
V2S attack: building DNN-based voice conversion from automatic speaker verification
A voice impersonation system is trained by deceiving a white-box automatic speaker verification model, using an ASR model to preserve content, and it performs comparably to voice conversion trained on only a few target utterances.