Kaldi hybrid models (mixture of DNNs and HMM acoustic modelling with WFST based decoding) are still competitive. They’re only really outperformed by the largest

Kaldi hybrid models (mixture of DNNs and HMM acoustic modelling with WFST based decoding) are still competitive. They’re only really outperformed by the largest models (and even then, that may be a function of investment in man-hours in tuning and data cleaning, rather than the capacity of the underlying models).