A speech recognition method, performed by a computer device, wherein the method comprises: obtaining first sample speech data corresponding to a target user and a first reference speech recognition result corresponding to the first sample speech data; obtaining a pre-update target model, the pre-update target model comprising a target speech extraction model, a target feature extraction model, and a target speech recognition model, the target feature extraction model being bridging between the target speech extraction model and the target speech recognition model; inputting the first sample speech data into the pre-update target model, and performing speech recognition by using the target speech extraction model, the target feature extraction model, and the target speech recognition model, to obtain a first model output result; obtaining a target model loss value corresponding to the target feature extraction model according to the first model output result and the first reference speech recognition result; and updating a model parameter of the target feature extraction model in the pre-update target model according to the target model loss value, to obtain a post-update target model, and performing speech recognition on speech data of the target user by using the post-update target model, wherein the performing speech recognition by using the target speech extraction model, the target feature extraction model, and the target speech recognition model, to obtain a first model output result comprises: inputting the first sample speech data into the target speech extraction model to perform speech extraction, to obtain first training speech data; inputting the first training speech data into the target feature extraction model to perform feature extraction, to obtain a first training feature; and inputting the first training feature into the target speech recognition model to perform speech recognition, to obtain the first model output result. obtaining first sample speech data corresponding to a target user and a first reference speech recognition result corresponding to the first sample speech data; obtaining a pre-update target model, the pre-update target model comprising a target speech extraction model, a target feature extraction model, and a target speech recognition model, the target feature extraction model being bridging between the target speech extraction model and the target speech recognition model; inputting the first sample speech data into the pre-update target model, and performing speech recognition by using the target speech extraction model, the target feature extraction model, and the target speech recognition model, to obtain a first model output result; obtaining a target model loss value corresponding to the target feature extraction model according to the first model output result and the first reference speech recognition result; and updating a model parameter of the target feature extraction model in the pre-update target model according to the target model loss value, to obtain a post-update target model, and performing speech recognition on speech data of the target user by using the post-update target model, wherein the performing speech recognition by using the target speech extraction model, the target feature extraction model, and the target speech recognition model, to obtain a first model output result comprises: inputting the first sample speech data into the target speech extraction model to perform speech extraction, to obtain first training speech data; inputting the first training speech data into the target feature extraction model to perform feature extraction, to obtain a first training feature; and inputting the first training feature into the target speech recognition model to perform speech recognition, to obtain the first model output result. inputting the first sample speech data into the target speech extraction model to perform speech extraction, to obtain first training speech data; inputting the first training speech data into the target feature extraction model to perform feature extraction, to obtain a first training feature; and inputting the first training feature into the target speech recognition model to perform speech recognition, to obtain the first model output result.