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小白發問 訓練的用意? #380
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如果你想要专门产生某个人的特化模型,只需要很小的数据集就能训练出更唯妙唯俏的模型,另外,模仿的效果受数据集影响,有些数据集中没有的字词可能没法很好的发音 |
感謝解答 我已下載了 @FawenYo (台灣口音) 的模型
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专项训练参照这个视频MockingBird数据集制作教程-手把手教你克隆海子姐的声线_哔哩哔哩_bilibili<https://www.bilibili.com/video/BV1dq4y137pH>
实测在已有模型基础上训练20K左右就能改变成想要的语音语调了。你如果是想要泛用型台湾口音的话,就尽可能收集更多人的数据集,否则会偏向特定某一个人的口音,而且断句和停顿似乎也会受到新数据集的影响
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From: ***@***.***>
Sent: 2022年2月11日 1:28
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Subject: Re: [babysor/MockingBird] 小白l�� ��的用意? (Issue #380)
@AyahaShirane<https://github.com/AyahaShirane>
感x解答
另外我想��
我已下d了 @FawenYo<https://github.com/FawenYo> (台�晨谝) 的模型
原本_l者提供的��际谴箨�口音
如果我想特化的人是台�晨谝舻脑�
1. 那N我除了��浯巳说��, 是否需要跟原本_l者提供的��黄鹩��?
�是�渭��此人的就可以了?
2. 我是否可以用�e人已�好的模型�榈鬃, 用新的��(我想特化的�ο)^m��?
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已被收集至 https://github.com/babysor/MockingBird/issues/437, great thanks to @AyahaShirane |
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我之前有研究過DeepFaceLab
換臉屬於專人專模
所以每換一個人, 都需要再特別訓練這個人的模型
今天剛開始研究MockingBird
也下載了網友提供的已訓練模型
但很妙的是, 只需要提供本地的一小段音訊來源, 就能有不錯的合成效果
既然如此, 有必要特別去訓練一個新的模型嗎? (或是特地製作一個新的資料集/語料庫)
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