voiceconversion
Voice conversion is a field within speech processing that transforms the voice of one speaker to resemble that of another without altering the spoken content. The goal is to modify speaker identity, including timbre, pitch, speaking rate, and other vocal traits, while preserving intelligibility and linguistic information.
A typical VC system extracts acoustic features from the source signal, such as spectral envelopes, fundamental
Common approaches include Gaussian mixture model-based mapping for classical VC, and neural methods using autoencoders, variational
Evaluations rely on objective metrics such as spectral distortion and F0 error, as well as perceptual tests
Applications span voice dubbing, accessibility, anonymization, and entertainment, but VC also raises ethical concerns about impersonation