that's great to hear! amazing performance of the model!
for voice chat bots, however, shorter input utterances are a norm (anywhere from 1-10 sec), with lots of silence in between, so this limitation is a bit sad:
> On the Gigaspeech test suite, Rev’s research model is worse than other open-source models. The average segment length of this corpus is 5.7 seconds; these short segments are not a good match for the design of Rev’s model. These results demonstrate that despite its strong performance on long-form tests, Rev is not the best candidate for short-form recognition applications like voice search.
for voice chat bots, however, shorter input utterances are a norm (anywhere from 1-10 sec), with lots of silence in between, so this limitation is a bit sad:
> On the Gigaspeech test suite, Rev’s research model is worse than other open-source models. The average segment length of this corpus is 5.7 seconds; these short segments are not a good match for the design of Rev’s model. These results demonstrate that despite its strong performance on long-form tests, Rev is not the best candidate for short-form recognition applications like voice search.