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Speech recognition has given the computer the ability to recognize the function of speech content, and it is an important research content in the field of human-computer interaction technology. With the development of computer technology, speech recognition has been developed very well. But there is still a lot of room for speech recognition in dialects. China is a country with a vast territory and a large population, so there are many dialects, among which more than 30 million people communicate with Chongqing dialect is one of them. The text files and corresponding speech files of some words in Chongqing dialect are collected to establish corpus. According to the pronunciation characteristics of Chongqing dialect, the vowel of Chongqing dialect is selected as the recognition primitive. HMM model for acoustic model to design Chongqing dialect speech recognition system. In the training process, the training corpus is used to train the acoustic model, and then the HMM model library is formed. In the recognition process, the test corpus is used to test the corpus. The experimental results show that the designed system can realize the speech recognition of Chongqing dialect, and the recognition rate is 100%.