text embedding dimension about glow-tts HOT 6 CLOSED

I changed hidden_channels, hidden_channels_enc and hidden_channels_decto 512, but I still encountered the following problem: in the inference time, some words are missing. For example, if I input:

I cannot hear r e4 in the synthesized voice. (The number here stands for tones in mandarin). Could you please give me some advice? Thanks!

Hi, you can try the trick add blank token between any two input tokens. My experiment in Chinese shows that this trick can improve pronunciation significantly.

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I changed hidden_channels, hidden_channels_enc and hidden_channels_decto 512, but I still encountered the following problem: in the inference time, some words are missing. For example, if I input:

I cannot hear r e4 in the synthesized voice. (The number here stands for tones in mandarin). Could you please give me some advice? Thanks!

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I changed hidden_channels, hidden_channels_enc and hidden_channels_decto 512, but I still encountered the following problem: in the inference time, some words are missing. For example, if I input:

I cannot hear r e4 in the synthesized voice. (The number here stands for tones in mandarin). Could you please give me some advice? Thanks!

Hi, you can try the trick add blank token between any two input tokens. My experiment in Chinese shows that this trick can improve pronunciation significantly.

Hi @shahuzi , I'm very happy that you are also interested in traininng glow-tts by using Mandarin datasets and thank you very much for your suggestion. I will try it!

By the way, because I encountered some alignment problems before (e.g. some words are always missing at the inference time) and I'm not sure whether I gave the model right input sequences. Could you kindly tell me what does your input sequences look like? Are you also using phonemes as I mentioned above? Do you use prosodic labels (e.g. "#1 #3 #4 #5" which stands for the pause in a sentence)?
For example:
“把知识运用于实践，离不开思考” ⬇️
"REC-001.wav|start0 b a3 zh ix1 sh ix5 sp2 vn4 iong4 v2 sh ix2 j ian4 sp3 l i2 b u4 k ai1 s iy1 k ao3 end0"
in which "sp3" means long pause (e.g. comma) and sp2 means short pause (e.g. 换气短停顿）.

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I changed hidden_channels, hidden_channels_enc and hidden_channels_decto 512, but I still encountered the following problem: in the inference time, some words are missing. For example, if I input:

I cannot hear r e4 in the synthesized voice. (The number here stands for tones in mandarin). Could you please give me some advice? Thanks!

Hi, you can try the trick add blank token between any two input tokens. My experiment in Chinese shows that this trick can improve pronunciation significantly.

Hi @shahuzi , I'm very happy that you are also interested in traininng glow-tts by using Mandarin datasets and thank you very much for your suggestion. I will try it!

By the way, because I encountered some alignment problems before (e.g. some words are always missing at the inference time) and I'm not sure whether I gave the model right input sequences. Could you kindly tell me what does your input sequences look like? Are you also using phonemes as I mentioned above? Do you use prosodic labels (e.g. "#1 #3 #4 #5" which stands for the pause in a sentence)?
For example:
“把知识运用于实践，离不开思考” ⬇️
"REC-001.wav|start0 b a3 zh ix1 sh ix5 sp2 vn4 iong4 v2 sh ix2 j ian4 sp3 l i2 b u4 k ai1 s iy1 k ao3 end0"
in which "sp3" means long pause (e.g. comma) and sp2 means short pause (e.g. 换气短停顿）.

@Charlottecuc 不好意思，没有及时回复你。
我英语不是很好，用中文回复吧~
我的输入是音素序列、音调序列和一些韵律表征（#1，#3等），和你的差不多。
其中音素序列和韵律特征并不是和你一样组合成一个序列，而是看成平行特征，三种输入做embedding后，在channel维度上拼接起来。

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@shahuzi 您好，方便提供几个你用glow-tts合成的音频样例吗？十分感谢

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@shahuzi 您好，方便提供几个你用glow-tts合成的音频样例吗？十分感谢

由于涉及到数据安全问题，我没法给你提供demo，见谅。目前我的结论是：对于播报式的音库，可以正常地合成，对于表现力很丰富的音库，合成会出问题。

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