Abstract: Methods, systems, devices, and media for creating a plan through multimodal search inputs are provided. A first search request comprises a first input received via a first input mode and a second input received via a different second input mode. The second input identifies a geographic area. First search results are displayed based on the first search request and corresponding to the geographic area. Each of the first search results is associated with a geographic location. A selection of one of the first search results is received and added to a plan. A second search request is received after the selection, and second search results are displayed in response to the second search request. The second search results are based on the second search request and correspond to the geographic location of the selected one of the first search results.

Abstract: Methods, systems, devices, and media for creating a plan through multimodal search inputs are provided. A first search request comprises a first input received via a first input mode and a second input received via a different second input mode. The second input identifies a geographic area. First search results are displayed based on the first search request and corresponding to the geographic area. Each of the first search results is associated with a geographic location. A selection of one of the first search results is received and added to a plan. A second search request is received after the selection, and second search results are displayed in response to the second search request. The second search results are based on the second search request and correspond to the geographic location of the selected one of the first search results.

Abstract: Methods, systems, devices, and media for creating a plan through multimodal search inputs are provided. A multimodal virtual assistant receives a first search request which comprises a geographic area. First search results are displayed in response to the first search request being received. The first search results are based on the first search request and correspond to the geographic area. Each of the first search results is associated with a geographic location. The multimodal virtual assistant receives a selection of one of the first search results, and adds the selected one of the first search results to a plan. A second search request is received after the selection, and second search results are displayed in response to the second search request being received. The second search results are based on the second search request and correspond to the geographic location of the selected one of the first search results.

Abstract: A biometric authentication system is disclosed that provides a trusted third party biometric authentication capability for independent confirmation of identity of parties. A repository of biometric templates for registered parties is disclosed that permit a biometric authenticator to perform independent authentication services for other parties by matching received biometric information against biometric information in the repository, or by providing requested biometric information.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: A biometric authentication system is disclosed that provides a trusted third party biometric authentication capability for independent confirmation of identity of parties. A repository of biometric templates for registered parties is disclosed that permit a biometric authenticator to perform independent authentication services for other parties by matching received biometric information against biometric information in the repository, or by providing requested biometric information.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Methods, systems, devices, and media for creating a plan through multimodal search inputs are provided. A multimodal virtual assistant receives a first search request which comprises a geographic area. First search results are displayed in response to the first search request being received. The first search results are based on the first search request and correspond to the geographic area. Each of the first search results is associated with a geographic location. The multimodal virtual assistant receives a selection of one of the first search results, and adds the selected one of the first search results to a plan. A second search request is received after the selection, and second search results are displayed in response to the second search request being received. The second search results are based on the second search request and correspond to the geographic location of the selected one of the first search results.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: A website mining tool is disclosed that extracts information from, for example, a company's website and presents the extracted information in a graphical user interface (GUI). In one embodiment, web pages from a website are stored in, for example, computer memory and a structure of the web pages is identified. A plurality of blocks of information is then extracted as a function of this structure and a category is assigned to each block of information. The elements in the blocks of information are then displayed, for example to a salesperson, as a function of these categories. In another embodiment, Document Object Modeling parsing is used to identify the structure of the web pages. In yet another embodiment, a support vector machine is used to categorize each block of information.

Abstract: A website mining tool is disclosed that extracts information from, for example, a company's website and presents the extracted information in a graphical user interface (GUI). In one embodiment, web pages from a website are stored in, for example, computer memory and a structure of the web pages is identified. A plurality of blocks of information is then extracted as a function of this structure and a category is assigned to each block of information. The elements in the blocks of information are then displayed, for example to a salesperson, as a function of these categories. In another embodiment, Document Object Modeling parsing is used to identify the structure of the web pages. In yet another embodiment, a support vector machine is used to categorize each block of information.

Abstract: The invention concerns an automated task classification system that operates on a task objective of a user. The system may include a meaningful phrase generator that generates a plurality of meaningful phrases from a set of verbal and non-verbal speech. Each of the meaningful phrases may be generated based on one of a predetermined set of the task objectives. A recognizer may recognize at least one of the generated meaningful phrases in an input communication of the user and a task classifier may make a classification decision in response to the recognized meaningful phrases relating to one of the set of predetermined task objectives.

Abstract: A website mining tool is disclosed that extracts information from, for example, a company's website and presents the extracted information in a graphical user interface (GUI). In one embodiment, web pages from a website are stored in, for example, computer memory and a structure of the web pages is identified. A plurality of blocks of information is then extracted as a function of this structure and a category is assigned to each block of information. The elements in the blocks of information are then displayed, for example to a salesperson, as a function of these categories. In another embodiment, Document Object Modeling parsing is used to identify the structure of the web pages. In yet another embodiment, a support vector machine is used to categorize each block of information.

Abstract: A website mining tool is disclosed that extracts information from, for example, a company's website and presents the extracted information in a graphical user interface (GUI). In one embodiment, web pages from a website are stored in, for example, computer memory and a structure of the web pages is identified. A plurality of blocks of information is then extracted as a function of this structure and a category is assigned to each block of information. The elements in the blocks of information are then displayed, for example to a salesperson, as a function of these categories. In another embodiment, Document Object Modeling parsing is used to identify the structure of the web pages. In yet another embodiment, a support vector machine is used to categorize each block of information.

Abstract: The invention concerns an automated task classification system that operates on a task objective of a user. The system may include a meaningful phrase generator that generates a plurality of meaningful phrases from a set of verbal and non-verbal speech. Each of the meaningful phrases may be generated based on one of a predetermined set of the task objectives. A recognizer may recognize at least one of the generated meaningful phrases in an input communication of the user and a task classifier may make a classification decision in response to the recognized meaningful phrases relating to one of the set of predetermined task objectives.

Abstract: The invention concerns an automated task classification system that operates on a task objective of a user. The system may include a meaningful phrase generator that generates a plurality of meaningful phrases from a set of verbal and non-verbal speech. Each of the meaningful phrases may be generated based on one of a predetermined set of the task objectives. A recognizer may recognize at least one of the generated meaningful phrases in an input communication of the user and a task classifier may make a classification decision in response to the recognized meaningful phrases relating to one of the set of predetermined task objectives.

Abstract: The present invention provides a speech recognizer that creates and updates the equalization vector as input speech is provided to the recognizer. The present invention includes a speech analyzer which transforms an input speech signal into a series of feature vectors or observation sequence. Each feature vector is then provided to a speech recognizer which modifies the feature vector by subtracting a previously determined equalization vector therefrom. The recognizer then performs segmentation and matches the modified feature vector to a stored model vector which is defined as the segmentation vector. The recognizer then, from time to time, determines a new equalization vector, the new equalization vector being defined based on the difference between one or more input feature vectors and their respective segmentation vectors.

Abstract: Speech recognition processing is compensated for improving robustness of speech recognition in the presence of enhanced speech signals. The compensation overcomes the adverse effects that speech signal enhancement may have on speech recognition performance, where speech signal enhancement causes acoustical mismatches between recognition models trained using unenhanced speech signals and feature data extracted from enhanced speech signals. Compensation is provided at the front end of an automatic speech recognition system by combining linear predictive coding and mel-based cepstral parameter analysis for computing cepstral features of transmitted speech signals used for speech recognition processing by selectively weighting mel-filter banks when processing frequency domain representations of the enhanced speech signals.

Abstract: An automated call routing system and method which operates on a call-routing objective of a calling party expressed in natural speech of the calling party. The system incorporates a speech recognition function, as to which a calling party's natural-speech call routing objective provides an input, and which is trained to recognize a plurality of meaningful phrases, each such phrase being related to a specific call routing objective. Upon recognition of one or more of such meaningful phrases in a calling party's input speech, an interpretation function then acts on such calling party's routing objective request to either implement the calling party's requested routing objective or to enter into a dialog with the calling party to obtain additional information from which a sufficient confidence level can be attained to implement that routing objective.