摘要:
A context-aware adaptive authentication method may comprise: determining a context for a user; adjusting automatically an authentication configuration for the user based at least in part on the context, wherein different matching accuracies of an authentication algorithm for the same authentication input data are associated with respective authentication configurations; and performing an authentication of the user with the authentication configuration, wherein for the user under a safe context, the authentication is performed by decreasing a matching accuracy of the authentication algorithm.
摘要:
An approach is provided for determining a user age range. An age estimator causes, at least in part, acquisition of voice data. Next, the age estimator calculates a first set of probability values, wherein each of the probability values represents a probability that the voice data is in a respective one of a plurality of predefined age ranges, and the predefined age ranges are segments of a lifespan. Then, the age estimator derives a second set of probability values by applying a correlation matrix to the first set of probability values, wherein the correlation matrix associates the first set of probability values with probabilities of the voice data matching individual ages over the lifespan. Then, the age estimator, for each of the predefined age ranges, calculates a sum of the probabilities in the second set of probability values corresponding to the individual ages within the respective predefined age ranges. Further, the age estimator determines the predefined age range to associate with the voice data based, at least in part, on the calculated sums of the probabilities.
摘要:
Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source. Corresponding apparatuses are also provided.
摘要:
An approach is provided for providing hub-based indexing and services. The hub-based platform causes, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines, Next, the hub-based platform determines a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof. Then, the hub-based platform causes, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.
摘要:
A method for personalized location privacy recommendation comprises: obtaining information of one or more locations for a user; collecting features of the one or more locations; and recommending respective privacy levels of the one or more locations automatically based at least in part on the information and the features.
摘要:
Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source is feature source. Corresponding apparatuses are also provided.
摘要:
An apparatus may include a profile determiner configured to determine a user profile. A contextual characteristic determiner may be configured to determine contextual characteristics relating to the apparatus and/or the user of the apparatus such that the profile determiner may infer user preferences and thereby create a dynamic portion of the user profile. An index builder may be configured to build an index of profile categories included within the user profile. A subscription registrar may cause the user profile to be registered for sharing with a service provider. Thereby a profile manager may provide for direct controlled access to the user profile which may be limited by user selection of permission levels and/or profile categories which are shared. Thereby access to the user profile may occur directly with the apparatus without storing the user profile on a separate server.
摘要:
Disclosed is a method, a computer program product, and a device that are responsive to detected mental states of a user to perform selection processes to execute a task. The method includes providing a hierarchical multi-level decision tree structure comprised of internal nodes and leaf nodes, where the decision tree structure represents a task. The method further includes navigating, using information derived from detected mental states of the user, through levels of the decision tree structure to reach a leaf node to accomplish the task. The step of navigating includes selecting, using the information derived from the detected mental states of the user, between attribute values associated with internal nodes of the decision tree structure. As non-limiting examples, the device may be a communication device, and the task may be a name dialing or a command/control task.
摘要:
An apparatus for providing voice conversion using temporal dynamic features includes a feature extractor and a transformation element. The feature extractor may be configured to extract dynamic feature vectors from source speech. The transformation element may be in communication with the feature extractor and configured to apply a first conversion function to a signal including the extracted dynamic feature vectors to produce converted dynamic feature vectors. The first conversion function may have been trained using at least dynamic feature data associated with training source speech and training target speech. The transformation element may be further configured to produce converted speech based on an output of applying the first conversion function.
摘要:
Systems and methods are provided for performing soft alignment in Gaussian mixture model (GMM) based and other vector transformations. Soft alignment may assign alignment probabilities to source and target feature vector pairs. The vector pairs and associated probabilities may then be used calculate a conversion function, for example, by computing GMM training parameters from the joint vectors and alignment probabilities to create a voice conversion function for converting speech sounds from a source speaker to a target speaker.