A speaker identification device acquires identification target voice data; acquires registered voice data; selects a first speaker identification model machine-learned using male voice data to identify a male speaker in a case where one of a sex of a speaker of the identification target voice data and a sex of a speaker of the registered voice data is male, and selects a second speaker identification model machine-learned using female voice data to identify a female speaker in a case where one of a sex of the speaker of the identification target voice data and a sex of the speaker of the registered voice data is female; and inputs a feature amount of the identification target voice data and a feature amount of the registered voice data to one of the selected first speaker identification model and second speaker identification model to identify the speaker of the identification target voice data.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

An electronic device is provided. The electronic device includes a microphone configured to receive an audio signal including a voice of a user, a sensor configured to detect a vibration signal generated by the user, at least one processor, and a memory configured to store an instruction executable by the processor. The at least one processor may be configured to determine a noise level included in the audio signal, calculate a verification score based on the noise level, the audio signal, and the vibration signal, and perform speaker verification for the user based on the verification score.

An electronic device is provided. The electronic device includes a microphone configured to receive an audio signal including a voice of a user, a sensor configured to detect a vibration signal generated by the user, at least one processor, and a memory configured to store an instruction executable by the processor. The at least one processor may be configured to determine a noise level included in the audio signal, calculate a verification score based on the noise level, the audio signal, and the vibration signal, and perform speaker verification for the user based on the verification score.

In one embodiment, a method includes, by one or more computing devices of an online social network, receiving, from a client system at a first location, an audio input from an unknown user, identifying a first user who is proximate to the first location, identifying the unknown user as a second user based on a comparison of the audio input to one or more voiceprints of one or more candidate users accessible by the client system, respectively, wherein each voiceprint comprises audio data for auditory identification of a unique user, and wherein each candidate user is a contact of the first user, and sending customized content to one or more of the first user or the second user, wherein the content is customized using interest information associated with the first or second user.

In one embodiment, a method includes receiving at a head-mounted device a speech input from a user and a visual input captured by cameras of the head-mounted device, wherein the visual input comprises subjects and attributes associated with the subjects, and wherein the speech input comprises a co-reference to one or more of the subjects, resolving entities corresponding to the subjects associated with the co-reference based on the attributes and the co-reference, and presenting a communication content responsive to the speech input and the visual input at the head-mounted device, wherein the communication content comprises information associated with executing results of tasks corresponding to the resolved entities.

Implementations set forth herein relate to an automated assistant that can solicit other devices for data that can assist with user authentication. User authentication can be streamlined for certain requests by removing a requirement that all authentication be performed at a single device and/or by a single application. For instance, the automated assistant can rely on data from other devices, which can indicate a degree to which a user is predicted to be present at a location of an assistant-enabled device. The automated assistant can process this data to make a determination regarding whether the user should be authenticated in response to an assistant input and/or pre-emptively before the user provides an assistant input. In some implementations, the automated assistant can perform one or more factors of authentication and utilize the data to verify the user in lieu of performing one or more other factors of authentication.

Implementations set forth herein relate to an automated assistant that can solicit other devices for data that can assist with user authentication. User authentication can be streamlined for certain requests by removing a requirement that all authentication be performed at a single device and/or by a single application. For instance, the automated assistant can rely on data from other devices, which can indicate a degree to which a user is predicted to be present at a location of an assistant-enabled device. The automated assistant can process this data to make a determination regarding whether the user should be authenticated in response to an assistant input and/or pre-emptively before the user provides an assistant input. In some implementations, the automated assistant can perform one or more factors of authentication and utilize the data to verify the user in lieu of performing one or more other factors of authentication.

An electronic apparatus is provided. The electronic apparatus includes a communication interface with communication circuitry, a memory configured to store at least one instruction and a processor, and the processor is configured to receive a first audio recognized as a wake up word by an external device from the external device, determine whether the first audio corresponds to the wake up word by analyzing the first audio, based on determining that the first audio does not correspond to the wake up word, obtain a neural network model for detecting a wake up word misrecognition based on the first audio, and transmit information regarding the neural network model to the external device.