>>272513118
Yeah it might be a bit difficult to make that work specifically. Maybe instead we could have prerecorded lines from the original source voice of the "character" we want. Then we ask the user to repeat what the source recordings sound like as closely as possible, but in their own voice. Then we run an algorithm that cycles through each tunable variable in the VC to find the combination that results in the most similar recording in the way that matters, so we'd need to create a measure that tells us essentially how closely a recording of a voice matches the recording of another voice in key areas like tonality and realism, while ignoring other characteristics like accent. Perhaps instead of linguistic recordings, we'd do just sounds, which would let us more easily ignore the undesired characteristics. I'm thinking we might not need machine learning for any of this.