4 ms·
Sounds interesting, although as someone not that deeply into ML these terms don't say a lot to me. What would "bias" mean in this case? That the model would rec
by rob74 4y ago
Sounds interesting, although as someone not that deeply into ML these terms don't say a lot to me. What would "bias" mean in this case? That the model would recognize a "standard German" speaker, but not someone from Bavaria? Because that happens to a lot of (non-Bavarian) Germans too.
- nshm 4y agoThe model knows the recognition text well and demonstrates good results because of it. If you test the same model on some unrelated speech which model didn't see yet the results will not be that great. Error rate might be significantly worse than other systems.
- Evidlo 4y agoWouldn't that more commonly be called generalizability?