Abstract: Example solutions for voice biometrics for anonymous identification and personalization capture an audio signal containing voice signal from a speaker. A plurality of unlabeled voiceprints are stored that are each associated with an anonymous label. The speaker's voice signal is recognized as matching one of the unlabeled voiceprints, enabling identification of the associated anonymous label. Historical information associated with the identified anonymous label is used to generate an alert specific to the speaker. Example practical applications include leveraging a customer relations management (CRM) interaction record to provide a personalized experience to the speaker and providing a warning to a user that the speaker is on a watchlist. These and other practical applications are possible, even though the speaker's identity may be unknown, and the speaker has not enrolled in a voice biometric system. Solutions for generating the unlabeled voiceprints are also disclosed.

Abstract: There is provided a method that includes obtaining data that describes (a) a situation, (b) a gesture for a response to the situation, (c) a prompt to accompany the response, and (d) a gestural annotation for the response, and utilizing a conversational machine learning technique to train a natural language understanding (NLU) model to address the situation, based on the data.

Abstract: An ambient listening system, includes: an ambient device configure to listen to a conversation between a customer and a sales agent regarding at least one of a desired service and a desired product, and generate an audio stream of the conversation and a unique identifier for the customer; a voice biometrics service module configure to perform at least one of i) identification of the customer based on the audio stream, and ii) voiceprint enrollment of the customer's voice based on the audio stream and the unique identifier for the customer; a business logic module configured to generate at least one business logic output based on at least one of customer's intent and entity extracted from the audio stream; and an automation platform configured to automate, based on the business logic output, the sales agent's workflow related to at least one of customer record, the desired service and the desired product.

Abstract: There is provided a method that includes (a) obtaining context information that is associated with a physical object, and is related to a context concerning the physical object, (b) searching a database for resultant information, based on the context information, (c) extracting and inferencing intents and entities, from the context information and the resultant information, (d) providing the intents and entities to a virtual assistant, and (e) facilitating a conversation between the virtual assistant and a user.