An emotional voice data conversion method and a related device, able to be used in the fields of smart governance or smart medicine, and comprising: acquiring source emotional voice data, and on the basis of a pre-set vocoder, extracting a first fundamental frequency, non-periodic data, and a first Mel-frequency cepstrum coefficient from the source emotional voice data (S201); by means of a linear transform, converting the first fundamental frequency into a second fundamental frequency, and on the basis of a pre-set conversion model, converting the first Mel-frequency cepstrum coefficient into a second Mel-frequency cepstrum coefficient, the pre-set conversion model being of a variational autoencoder generative adversarial network structure; and on the basis of the vocoder, performing a Fourier transform and adaptive interpolation processing on the second fundamental frequency, the second Mel-frequency cepstrum coefficient, and the non-periodic data, to obtain target emotional data (S203).
EMOTIONAL VOICE DATA CONVERSION METHOD, APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM