How to get the decoding result scores from

Hi,

Thanks for the work. I am trying to use the pre-trained model, but I don't know how to get the decoding score for the corresponding decoding results.

```
nbests = speech2text(speech)

text, *_ = nbests[0]

print(text)

```
The code above only prints text. I would like to get decoding confidence as well.

I checked speech2text class.

```
for hyp in nbest_hyps:
assert isinstance(hyp, Hypothesis), type(hyp)

# remove sos/eos and get results
token_int = hyp.yseq[1:-1].tolist()

# remove blank symbol id, which is assumed to be 0
token_int = list(filter(lambda x: x != 0, token_int))

# Change integer-ids to tokens
token = self.converter.ids2tokens(token_int)

if self.tokenizer is not None:
text = self.tokenizer.tokens2text(token)
else:
text = None
results.append((text, token, token_int, hyp))

assert check_return_type(results)
return results
```

From the code above I conjecture that the confidence should be obtained from the "hyp", but it is not clear to me how
to parse "hyp" to get the score.