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**Is your feature request related to a problem? Please describe.**
As I only speak English, I cannot really use the cosyvoice gradio interface.
**Describe the solution you'd like**
Please conside…
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## 一言でいうと
WaveNetは精度は良いものの、生成は逐次的(過去の自身の生成結果を利用する)ためとても生成に時間がかかるという問題があった。そこで、IAF(Inverse Autoregressive Flow)という再帰的な実行で分布近似を行うようなモデルを利用し、(自身の生成結果でなく)ノイズから徐々にあるべき音の分布へと近づけていき、最終的に訓練されたWaveNetの分布と近く…
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Hi,
I have trained a Tacotron-2 model over a custom English database containing 13 hours of speech.
I have used default configuration. My 945000th step synthesis results are generally very good. …
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Running the command: `echo 'Welcome to the world of speech synthesis!' | piper --model en_US-danny-low --output-raw | aplay -r 22050 -f S16_LE -t raw` works on my RPi4, but when I repeat the same comm…
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Dataloader name: `cmu_wilderness_multilingual_speech_dataset/cmu_wilderness_multilingual_speech_dataset.py`
DataCatalogue: http://seacrowd.github.io/seacrowd-catalogue/card.html?cmu_wilderness_multili…
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speechd is a 'common high-level interface to speech synthesis', providing a bridge between TTS engines and applications consuming TTS functionality (such as screen reader software). arguably tho, it c…
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Hi, thank your for this excellent work, unfortunately I can't find beyond the demo, the global accuracy score on the reference benchmark LJspeech.
Doing so would allow proper comparison with other mo…
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We are running the Tacotron-2 training script with LJ-speech dataset.
This is our [dockerfile](https://github.com/a8568730/Tacotron-2/blob/Dockerfile/Dockerfile):
```
FROM tensorflow/tensorflow:l…
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I'm trying to comprehend how does deep learning in speech synthesis work. The plots below are generated using Tacotron 2 after speech synthesis on my own pretrained model. Left one is typical mel spe…
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https://deepmind.com/blog/high-fidelity-speech-synthesis-wavenet/
#296
> The new, improved WaveNet model still generates a raw waveform but at speeds 1,000 times faster than the original model, mea…