Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion
Table 2: A comparion of average MCD [dB], LSD [dB] and PCC of all non-silent frames from the baseline (C-VAWGAN) with LG-based F0 and the proposed framework (CWT-C-VAWGAN) for 3 seen and 2 unseen speakers.
['Framework', 'MCD [dB] Seen', 'MCD [dB] Unseen', 'LSD [dB] Seen', 'LSD [dB] Unseen', 'PCC Seen', 'PCC Unseen']
We perform objective evaluation to assess the performance of both spectrum and prosody conversion. We use MCD and LSD for spectrum conversion evaluation, while PCC is used for prosody conversion. In this section, the proposed VAW-GAN-based EVC framework given in Figure 1 is denoted as CWT-C-VAWGAN. The baseline framework, denoted as C-VAWGAN, converts spectrum with VAW-GAN conditioned on LG-based F0 without CWT decomposition, where F0 is converted in a traditional manner with LG-based linear transformation [sisman2019group].