An intelligent medical speech automatic recognition method includes performing a first model training step, a second model training step, a voice receiving step, a signal pre-treatment step and a transforming step. The first model training step is performed to train a generic statement data and a medical statement data of a database to establish a first model. The second model training step is performed to train a medical textbook data of the database to establish a second model. The voice receiving step is performed to receive a speech signal. The signal pre-treatment step is performed to receive the speech signal from the voice receiver and transform the speech signal into a to-be-recognized speech signal. The transforming step is performed to transform and recognize the to-be-recognized speech signal into a complete sentence writing character according to the first model and the second model.