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I used https://github.com/espnet/espnet/tree/master/egs/arctic/vc1 to train the VTN model with the exact set of steps.
The results sound like the target speaker but the content itself is not clear. ā¦
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In [`7dec674`](https://github.com/efecear/upptime/commit/7dec67406730d205c3022a02f7257df494dbf79a
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**Describe the bug**
Hi, thanks for the awesome work!
However, when I tried to **implement the Commonvoice ASR by using ESPnet as a library,** I met some problems.
The problem was that I used tā¦
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In [`6c58a85`](https://github.com/efecear/upptime/commit/6c58a85ee396274d33d9cd8c539853191c7518c7
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I tried to run espnet training.
But, the following error occurred.
```
! ./run.sh \
--stage 1 \
--stop-stage 5 \
--g2p pyopenjtalk_accent_with_pause \
--min_wav_duratiā¦
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In [`1401be6`](https://github.com/efecear/upptime/commit/1401be6992cd90626024db5a7ed6145394fe1618
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After applying the SOTA conformer asr model on my own dataset, I find that this model performs worse on short utterance, for example the utterance that shorter than 2 seconds. There are lots of substiā¦
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I am trying to preprocess a dataset with the following command:
```
piper/src/python on master [!] via š v3.10.6 (.venv)
āÆ python3 -m piper_train.preprocess \
--language en \
-ā¦