Abstract: A method for voiceprint recognition of an original speech is used to reduce information losses and system complexity of a model for data recognition of a speaker's original speech. The method includes: obtaining original speech data, and segmenting the original speech data based on a preset time length to obtain segmented speech data; performing tail-biting convolution processing and discrete Fourier transform on the segmented speech data through a preset convolution filter bank to obtain voiceprint feature data; pooling the voiceprint feature data through a preset deep neural network to obtain a target voiceprint feature; performing embedded vector transformation on the target voiceprint feature to obtain corresponding voiceprint feature vectors; and performing calculation on the voiceprint feature vectors through a preset loss function to obtain target voiceprint data, where the loss function includes a cosine similarity matrix loss function and a minimum mean square error matrix loss function.

Abstract: A method for voiceprint recognition of an original speech is used to reduce information losses and system complexity of a model for data recognition of a speaker's original speech. The method includes: obtaining original speech data, and segmenting the original speech data based on a preset time length to obtain segmented speech data; performing tail-biting convolution processing and discrete Fourier transform on the segmented speech data through a preset convolution filter bank to obtain voiceprint feature data; pooling the voiceprint feature data through a preset deep neural network to obtain a target voiceprint feature; performing embedded vector transformation on the target voiceprint feature to obtain corresponding voiceprint feature vectors; and performing calculation on the voiceprint feature vectors through a preset loss function to obtain target voiceprint data, where the loss function includes a cosine similarity matrix loss function and a minimum mean square error matrix loss function.

Abstract: A voiceprint recognition method includes: obtaining a target speech information set to be recognized that includes speech information corresponding to at least one object; extracting target feature information from the target speech information set by using a preset algorithm, and optimizing the target feature information based on a first loss function to obtain a first voiceprint recognition result; obtaining target speech channel information of a target speech channel, where the target speech channel information includes channel noise information, and the target speech channel is used to transmit the target speech information set; extracting target feature vectors in the channel noise information, and optimizing the target feature vectors based on a second loss function to obtain a second voiceprint recognition result; and fusing the first voiceprint recognition result and the second voiceprint recognition result to determine a final voiceprint recognition result.

Abstract: Apparatuses, methods, and systems are disclosed for non-orthogonal communication. One apparatus includes a transmitter that transmits a first signal to a first device for indicating a first resource in a control region of a carrier bandwidth. The first resource is used by the first device for transmitting first control information, and the first control information includes first non-orthogonal layer information. The apparatus also includes a receiver that receives the first control information from the first resource, and receives first data in a data region of the carrier bandwidth. The data region includes multiple non-orthogonal layers. The apparatus includes a processor that decodes the first control information, and decodes the first data based on the first control information.

Abstract: Apparatuses, methods, and systems are disclosed for non-orthogonal communication. One apparatus includes a transmitter that transmits a first signal to a first device for indicating a first resource in a control region of a carrier bandwidth. The first resource is used by the first device for transmitting first control information, and the first control information includes first non-orthogonal layer information. The apparatus also includes a receiver that receives the first control information from the first resource, and receives first data in a data region of the carrier bandwidth. The data region includes multiple non-orthogonal layers. The apparatus includes a processor that decodes the first control information, and decodes the first data based on the first control information.