A TTS system where voice is determined by a caption and a random seed can reproduce the same voice as long as the combination is recorded—even if the model is lost. This describes an experience of recreating the same voice from saved data after losing the original generation script, along with how to design a value ledger for this purpose.
I'm using a TTS system that lets you design a voice from a caption. You hand it a text description of the voice plus a random seed, and it speaks in exactly that voice.
{
"input": "こんにちは。本日はお集まりいただき、ありがとうございます。",
"irodori": {
"caption": "落ち着いた知的な大人の女性の声。滑らかで聞き取りやすく、上品で信頼感のある話し方。",
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The trained voice cloning model for my project is 50 megabytes. Anyone with those 50 megabytes can...
