Abstract: A text adjustment method includes: obtaining a to-be-processed text; determining whether to adjust the to-be-processed text according to the to-be-processed text and a context text of the to-be-processed text; in response to determining to adjust the to-be-processed text, determining adjustment character information and adjustment position information of the to-be-processed text according to the context text; and determining an adjusted to-be-processed text according to the adjustment character information and the adjustment position information.

Abstract: A method for processing information includes that: a current audio is acquired, and a current text corresponding to the current audio is acquired; feature extraction is performed on the current audio through a speech feature extraction portion in a semantic analysis model, to obtain a speech feature of the current audio; feature extraction is performed on the current text through a text feature extraction portion in the semantic analysis model, to obtain a text feature of the current text; semantic classification is performed on the speech feature and the text feature through a classification portion in the semantic analysis model, to obtain a classification result; and recognition of the current audio is rejected in response to the classification result indicating that the current audio is to be rejected for recognition.

Abstract: An audio processing method includes: acquiring first audio data associated with a first audio signal after waking up a target application; when second audio data associated with a second audio signal is detected in the process of acquiring the first audio data, acquiring the second audio data; and obtaining target audio data according to the first audio data and the second audio data. With the method, a conversation flow can be simplified without waking up a target application again, the first audio data and the second audio data are combined to obtain target audio data, and audio response is made to the target audio data, which can more accurately get real needs of a user, reduce the rate of isolated responding errors, and improve the accuracy of the audio response.

Abstract: A method for processing information includes that: a current audio is acquired, and a current text corresponding to the current audio is acquired; feature extraction is performed on the current audio through a speech feature extraction portion in a semantic analysis model, to obtain a speech feature of the current audio; feature extraction is performed on the current text through a text feature extraction portion in the semantic analysis model, to obtain a text feature of the current text; semantic classification is performed on the speech feature and the text feature through a classification portion in the semantic analysis model, to obtain a classification result; and recognition of the current audio is rejected in response to the classification result indicating that the current audio is to be rejected for recognition.

Abstract: An audio processing method includes: acquiring first audio data associated with a first audio signal after waking up a target application; when second audio data associated with a second audio signal is detected in the process of acquiring the first audio data, acquiring the second audio data; and obtaining target audio data according to the first audio data and the second audio data. With the method, a conversation flow can be simplified without waking up a target application again, the first audio data and the second audio data are combined to obtain target audio data, and audio response is made to the target audio data, which can more accurately get real needs of a user, reduce the rate of isolated responding errors, and improve the accuracy of the audio response.