Abstract: Embodiments of the present application provide a speech conversion method and apparatus, a storage medium, and an electronic device. The method includes: acquiring a source speech to be converted and a target speech sample of a target speaker; recognizing a style category of the target speech sample, and extracting a target audio feature from the target speech sample according to the style category; extracting a source audio feature from the source speech; acquiring a first style feature of the target speech sample and determining a second style feature of the target speech sample according to the first style feature; fusing and mapping the source audio feature, the target audio feature, and the second style feature to obtain a joint encoding feature; and decoding the joint encoding feature, to obtain a target speech feature, and converting the source speech based on the target speech feature to obtain a target speech.

Abstract: This application provide a synthetic audio output method and apparatus, a storage medium, and an electronic device. The method includes: inputting input text and a specified target identity identifier into an audio output model; extracting an identity feature sequence of a target identity by an identity recognition model; extracting a phoneme feature sequence corresponding to the input text by an encoding layer of a speech synthesis model; superimposing and inputting the identity feature sequence of the target identity and the phoneme feature sequence into a variable adapter of the speech synthesis model; and after duration prediction and alignment, energy prediction, and pitch prediction are performed on the phoneme feature sequence by the variable adapter, outputting a target Mel-frequency spectrum feature corresponding to the input text through a decoding layer of the speech synthesis model; and inputting the target Mel-frequency spectrum feature into a vocoder to output synthetic audio.

Abstract: The present invention relates to the field of intelligent recognition, and discloses an intent recognition method based on a deep learning network, resolving a technical problem that accuracy of intent recognition is not high.

Abstract: The present invention relates to the field of intelligent recognition, and discloses an intent recognition method based on a deep learning network, resolving a technical problem that accuracy of intent recognition is not high.