Comments (4)
Hi, I guess there is a mismatch between your reference and training audio. In my demo page, I trained the model with Blizzard2011 data. Before that, I random select 500 sentences as test set, which is used to provide reference audio. So for your experiment, the reference audio is from Blizzard2011 database, but your model was trained with LJspeech data.
I'm sorry that now I'm an intern at Tencent, I don't have the pre-trained model now.
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Hi.. Thanks for your quick response. I was under the impression that I can use any reference-audio (as a style) and use the model to generate new voice in the referenced-audio style. Does it matter which reference I use? Does it have to be from the same distribution as training data? My assumption was that model learns training-data distribution automatically and generates new audio/wav files with the style given in the training data. Please correct me if I am wrong. Thanks again for your help.
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@mohsinjuni Hi, I'm in the same situation like yours, have you figured out if reference audio can be any audio or must be in the same dataset? Thanks.
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Hi, I have a similar question. Has anyone found a solution for the same?
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Related Issues (20)
- GMM Attention HOT 5
- No clear speech HOT 7
- Some problems when preprocessing ljspeech dataset HOT 1
- Reference Encoder Padding
- where do you insert or import wav file of models voice for training?
- Why use the 'tf.layer.conv1d' for query, key transformation instead of fully connected layer?
- Error in datafeeder.py HOT 1
- Path for Reference Audio HOT 1
- erro in eval.py HOT 1
- Check failed: dnnReLUCreateBackward_F32 HOT 1
- can we synthesis speaker-A's tone with speaker-B's prosody?
- What is in reference audio path?
- Pretrained Weights HOT 1
- Unable to reproduce results
- Mumbling in synthesis HOT 1
- Regarding the trained model
- Using pre-trained model of Keithito's tacotron implementation
- Add style weights when there is no reference audio
- shape of linear_outputs is not same as while training
- training stops many seconds to create new queue of data
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