Speech disorders affect many people around the world and introduce a negative impact on their quality of life. Dysarthria is a neural-motor speech disorder that obstructs the normal production of speech. Current automatic speech recognition (ASR) systems are developed for normal speech. They are not suitable for accurate recognition of disordered speech. To the best of our knowledge, the majority of disordered speech recognition systems developed to date are for English. In this paper, we present two disordered speech recognition systems for both English and Cantonese. Both systems demonstrate competitive performance when compared with the Google speech recognition API and human recognition results.