Free on-line speech recogniser based on Kaldi ASR toolkit producing word posterior lattices

This paper presents an extension of the Kaldi automatic speech recognition toolkit to support on-line recognition. The resulting recogniser supports acoustic models trained using state-of-theart acoustic modelling techniques. As the recogniser produces word posterior lattices, it is particularly useful in statistical dialogue systems, which try to exploit uncertainty in the recogniser’s output. Our experiments show that the online recogniser performs significantly better in terms of latency when compared to a cloud-based recogniser.