Abstract: A method for voice wakeup is provided, which includes: obtaining original first microphone data; performing first-stage processing based on the first microphone data to obtain first wakeup data, wherein the first-stage processing includes first-stage separation processing and first-stage wakeup processing that are based on a neural network model; performing second-stage processing based on the first microphone data to obtain second wakeup data when the first wakeup data indicates that pre-wakeup succeeds, wherein the second-stage processing includes second-stage separation processing and second-stage wakeup processing that are based on the neural network model; and determining a wakeup result based on the second wakeup data. According to this application, a two-stage separation and wakeup solution is designed, e.g.

Abstract: A speech synthesis method and a speech synthesis apparatus to synthesize speeches of different emotional intensities in the field of artificial intelligence, where the method includes obtaining a target emotional type and a target emotional intensity parameter that correspond to an input text, determining a corresponding target emotional acoustic model based on the target emotional type and the target emotional intensity parameter, inputting a text feature of the input text into the target emotional acoustic model to obtain an acoustic feature of the input text, and synthesizing a target emotional speech based on the acoustic feature of the input text.

Abstract: A speech synthesis method and a speech synthesis apparatus to synthesize speeches of different emotional intensities in the field of artificial intelligence, where the method includes obtaining a target emotional type and a target emotional intensity parameter that correspond to an input text, determining a corresponding target emotional acoustic model based on the target emotional type and the target emotional intensity parameter, inputting a text feature of the input text into the target emotional acoustic model to obtain an acoustic feature of the input text, and synthesizing a target emotional speech based on the acoustic feature of the input text.