Abstract:
Disclosed is an automated reservations system for use with a frequent flyer account or other similar awards account. The automated reservations system initially authenticates customers utilizing one or more forms of identification. The customer is then prompted to provide travel itinerary information to the reservations system by a series of voice prompt menus. Utilizing the customer-entered itinerary information, the automated reservations system queries a flight information database to determine if the requested itinerary is available. The automated reservations system then determines if the customer has the required amount of frequent flyer miles to book the requested itinerary. If the customer has the required amount of frequent flyer miles, the automated reservations system allows the customer to either ticket or hold the requested itinerary. The automated reservations system is also capable of assigning seats for each passenger in the customer's itinerary.
Abstract:
A system may include a database configured to selectively store and retrieve data. The system may further include a call record parser configured to receive a plurality of call records, each call record being associated with a respective call, parse the plurality of call records to identify periods of resource usage and types of resource usage for the associated calls, create parsed data based on the identified periods of resource usage and the types of resource usage, and store the parsed data in the database indexed according to the type of the identified resource and including the start and end times for the identified periods of usage.
Abstract:
A method including receiving a voice call; analyzing speech in real-time to determine whether payment information is included in the voice call; omitting to record the voice call when it is determined that the voice call includes the payment information; and recording the voice call when it is determined that the voice call does not include the payment information.
Abstract:
A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into at least first constituent voice data and second constituent voice data. One of the first and second constituent voice data is analyzed by mining the voice data and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent voice data. Behavioral assessment data is generated which corresponds to the analyzed voice data.
Abstract:
Techniques are described for providing relevant information to users (e.g., information that is at least potentially of interest to the users). Relevant information for a user may be automatically determined based on a determined context of the user and/or on a request for that information from the user. For example, voice-based information may be obtained from a user in one or more ways, and then analyzed to identify requests or other indications of information of interest and/or to otherwise determine a context of the user that corresponds to potential information of interest. Relevant information for a user may be provided to the user in various ways, such as via a voice-based response during a telephone call and/or via one or more electronic messages sent to the user (e.g., via emails, instant messages, paging messages, SMS or other text messages, etc.).
Abstract:
A method for receiving processed information at a remote device is described. The method includes transmitting from the remote device a verbal request to a first information provider and receiving a digital message from the first information provider in response to the transmitted verbal request. The digital message includes a symbolic representation indicator associated with a symbolic representation of the verbal request and data used to control an application. The method also includes transmitting, using the application, the symbolic representation indicator to a second information provider for generating results to be displayed on the remote device.
Abstract:
A method and apparatus is described to process an incoming telephone call. The method may comprise, at a recipient telephone system, receiving the incoming call including speech and identifying when a Do-Not-Disturb option is set. The Do-Not-Disturb option may identify that a user has requested not to receive telephone calls. Content analysis may be performed to identify content of the speech and a reference database may be interrogated based on the content to identify an associated rule. Thereafter, the Do-Not-Disturb option may be selectively overridden based on the associated rule. The content analysis may comprise performing speech recognition on the speech to obtain a reference word/phrase and interrogating the reference database with the word/phrase to identify the associated rule. A method of configuring a Do-Not-Disturb option in a telephone system is also described that allows a user to define reference words and associated rules.
Abstract:
Certain embodiments of the present invention employ targeted speech detection as part of end-of-hold detection in an end-of-hold notification system. The targeted speech detector is configured to be particularly sensitive to specific words or phrases so as to increase the likelihood of detecting a correct end-of-hold condition while reducing the likelihood of false end-of-hold detection. Targeted speech detection may be used along with other detection mechanisms such as DTMF detection and/or background noise detection.
Abstract:
Voice message processors are configured to produce text representations of voice messages. The text representations can be compacted based on one or more abbreviation libraries or rule libraries. Abbreviation processing can be applied to produce a compact text representation based on display properties of a destination device or to enhance user perception. Text representation length can be reduced based on abbreviations in a standard abbreviation list, a user specific abbreviation list, or a combination of standard and custom lists. In some examples, text length is shortened based on stored rules.
Abstract:
An interactive voice response (IVR) mapping system (IVRMS) is used in a transaction between a waiting party and a queuing party, wherein the queuing party has a queuing calling system (QCS). The IVRMS communicates with the QCS for extracting navigational information from the QCS and generates an IVR map of the QCS. The IVRMS performs map validation by comparing the IVR map with extracted navigational information, and determines if a certain threshold of matching is not met. Optionally, a primary IVR map and a supplementary IVR map of the QCS are created. An editor corrects mistakes in an automated speech-to-text conversion process, removes text that is not relevant for visual navigation, corrects structure of an IVR map via adding, removes or changes commands, or a combination thereof.