The present disclosure provides a method and apparatus for correcting a speech recognition error based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining a second speech recognition result of a second speech query input by the user; performing error-correcting intention recognition according to the second speech recognition result; extracting error-correcting information from the second speech recognition result when it is determined that the user has an error-correcting intention; screening error-correcting resources according to the error-correcting information, and using a selected best-matched error-correcting resource to perform error correction for the first speech recognition result, the first speech recognition result being a speech recognition result of a first speech query which is input before the second speech query. The solution of the present disclosure may be applied to improve accuracy of error-correcting results and reduce the error-correcting difficulty.