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Hi guys,
I am trying to replicate the results from the gigaspeech recipe, as a comparison to other models we trained before.
The pretrained model was obtained from [Gigaspeech repo](https://hug…
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## 🐛 Bug
I made my own wav2vec2.0 model, and pretrained it with some data.
model training was successful, and inference is working with the command written in wav2vec2.0 README.md.
But the problem …
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thanks very much for your great project!
I have two questions to ask:
1. how big is the the transducer loss for a well performed model? or the model is converged?
2. is there an…
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## 🐛 Bug
When inference using wav2vec_seq2seq, the decoder is not compatible with the model
### To Reproduce
Steps to reproduce the behavior (**always include the command you ran**):
I ru…
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I am getting a lot of deletions in my RNN-T training/decoding setup relative to Transformer/Conformer. The data is the "Malach" corpus; about 200 hours of English but accented speech from Holocaust su…
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When i'm trying to run the inference with transformer language model which i'v trained i'm getting this error:
```
\INFO:__main__:Namespace(all_gather_list_size=16384, autoregressive=False, azureml_…
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## 🐛 Bug
Have traceback with error `Error(s) in loading state_dict for Wav2VecCtc:`
On commit 68157726 speech recognition example worked. on last changes have traceback.
I use infer.py from s…
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I'm trying to run the RNNT training benchmark, but the Docker build results in a GPG error because of an unsigned repository. Is NVIDIA still supporting Ubuntu 18 with this repository?
```
training/…
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### 🐛 Describe the bug
My networks rely on varying shapes during training as well as during inference. Thus, I tried to use `torch.compile(... dynamic=True)` as well as the `torch._dynamo.optimize(..…
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When I used the unigram subword method on Japanese, the WER got by fast_beam_search is expected, but when I used bpe subword, fast_beam_search got a lot of deletion errors as follows:
```
unigram:…