Abstract: An electronic device includes a memory storing first vector information obtained from a pre-registered user voice, and a processor configured to obtain, based on a user voice being received, second vector information of a first filtered user voice by inputting the received user voice and the first vector information stored in the memory to a trained first neural network model, obtain second filtered user voice information by inputting the second vector information of the first filtered user voice and the received user voice to a trained second neural network model, and perform voice recognition based on the second filtered user voice information.

Abstract: An electronic device is provided.

Abstract: Disclosed is an electronic device and a control method therefor. The electronic device according to an embodiment includes: memory storing at least one instruction and at least one processor, comprising processing circuitry, individually and/or collectively, configured to execute the at least one instruction, and to: identify a target pitch shift value for shifting a pitch of voice data, divide the identified target pitch shift value into a first pitch shift value and a second pitch shift value, identify a pitch shift embedding value based on the first pitch shift value, obtain second voice data by updating a feature of a pitch of first voice data based on the second pitch shift value, identify a pitch embedding value based on a pitch of the obtained second voice data, and obtain third voice data to which the pitch of the first voice data is shifted based on the pitch shift embedding value and the pitch embedding value.

Abstract: An example electronic device and an example control method thereof are provided.

Abstract: An electronic device includes a memory storing first vector information obtained from a pre-registered user voice, and a processor configured to obtain, based on a user voice being received, second vector information of a first filtered user voice by inputting the received user voice and the first vector information stored in the memory to a trained first neural network model, obtain second filtered user voice information by inputting the second vector information of the first filtered user voice and the received user voice to a trained second neural network model, and perform voice recognition based on the second filtered user voice information.

Abstract: According to an embodiment, an electronic device, comprises: a microphone configured to receive an audio signal comprising a speech of a user; a memory storing instructions therein; and a processor electrically connected to the memory and configured to execute the instructions, wherein execution of the instructions by the processor, causes the processor to perform a plurality of operations, the plurality of operations comprising: removing noise from the audio signal, thereby generating a first output result; performing speaker separation on the audio signal on the audio signal or the first output result, thereby generating a second output result; and processing a command corresponding to the audio signal based on the first output result and the second output result.