ASR with hotwords

i am trying to figure out how to create language model with support of hot words. Hot words (or speech context or speech boost) are great feature for dynamically tune ASR with given context in voice assistant. For instance you want to authorize person through their surname and you know with some probability (based on image, or phone number) that his surname is for instance “Lysek” so you give it to speech boost (Google ASR) and it will transcribe correctly with great probability (oposed to without boost it will transcribe Lesek). Custom LM is one solution but it is not suitable for every use case.

I have two questions:

Thanks for great work!

Hi @tomas.lysek ,
Please allow us some time to check on this.