Manickavela

I ran the python tests in debug mode and got this error > + python3 ./python-api-examples/offline-telespeech-ctc-decode-files.py > Traceback (most recent call last): > File "/mnt/efs/manickavela/asr_work/trt/sherpa-onnx/./python-api-examples/offline-telespeech-ctc-decode-files.py", line 16, in > import...

Hi @csukuangfj, would be great to have some leads on python fix

Hi @csukuangfj, would be great if you can have one more review by today. 🙂

Hi @csukuangfj, I think it is all good now, expected tests are also passing through, let me know if there are any more reviews

uffff, Thank you so much

Have you had a look at hotwords implementation for contextual biasing? https://k2-fsa.github.io/sherpa/onnx/hotwords/index.html

Would be great if this is documented as either general requirement, or for each model combinations on minimum requirement (or experiments conducted on) will be a great easy start! 🙂

Yes, I meant on similar lines, By adding separate configs for encoder,decoder and joiner, I actually meant they will be hardcoded and not exposed as an argument. And as you...

Actually, given the mode size of decoder and joiner, we can as well just running with CUDA EP itself, since encoder is the only heavy lifter here

Hi @csukuangfj, could you approve for workflows, meanwhile you get time into review, it will give me ample time to fix any failures