Abstract: A method and system allow a subscriber to test emergency 911 telephone services routed from the subscriber's location over a network to a response center. An alternative dialing code (*911) is provided for testing, and when a call placed by a subscriber to the alternative dialing code is received in the network, the network identifies the response center to which a 911 call placed from the subscriber's location is routed. An answering device is provided with status information with respect to the identified response center, and calls placed by the subscriber to the alternative dialing code are routed to the answering device, whereby when a subscriber places a call to the alternative dialing code, the answering device will supply the subscriber with status information with respect to the identified response center that receives a 911 call from the subscriber's location.

Abstract: A method and system for detecting routing loops and time-to-live (TTL) expiry attacks in a telecommunications network are disclosed. The detection of routing loops and TTL expiry attacks can be achieved based on the comparison of TTL expiries occurring on two or more routers in the network. A quantity of TTL expiries associated with a router can be summed. Additionally, a quantity of TTL expiries associated with other routers that are operatively coupled to the router can be summed. A difference between the sums can be calculated and a determination of whether a routing loop exists can be made in response to the difference.

Abstract: In a particular embodiment, a method of providing an alert related to visual ticker data for display at a display device is disclosed. The method includes receiving media content at a destination device. The media content includes video data, audio data, and visual ticker data. The method also includes generating an alert related to the visual ticker data, providing the media content to a display device and selectively providing data related to the alert to a selected device based on a user preference.

Abstract: Disclosed are a system, method and computer-readable medium for organizing images. A method aspect relates to receiving an image into a device, receiving incidental information associated with the image, organizing the image and the incidental information into a data structure such as a sparse array, classifying the received image with an image classifier and storing the classified image in an image database, receiving a search query and responding to the search query by searching for and retrieving matching images in the image database based on a comparison of the image search query to the data structure.

Abstract: A method of labeling unlabeled nodes in a graph that represents objects that have an explicit structure between them. A computing device can use a labeling engine to labeled nodes in a graph that are labeled and can identify an unlabeled node in the graph that is structurally associated with the labeled nodes. The labeling engine can label the unlabeled node with the label of the labeled node based on the structural association between the unlabeled node and the labeled node.

Abstract: Disclosed are a system and method for exploiting information in an utterance for dialog act tagging. An exemplary method includes receiving a user utterance, computing at periodic intervals at least one parameter in the user utterance, quantizing the at least one parameter at each periodic interval, approximating conditional probabilities using an n-gram over a sliding window over the periodic intervals and tagging the utterance as a dialog act based on the approximated conditional probabilities.

Abstract: Disclosed are systems, methods and computer readable media for training acoustic models for an automatic speech recognition systems (ASR) system. The method includes receiving a speech signal, defining at least one syllable boundary position in the received speech signal, based on the at least one syllable boundary position, generating for each consonant in a consonant phoneme inventory a pre-vocalic position label and a post-vocalic position label to expand the consonant phoneme inventory, reformulating a lexicon to reflect an expanded consonant phoneme inventory, and training a language model for an automated speech recognition (ASR) system based on the reformulated lexicon.

Abstract: A system and method are disclosed for synthesizing speech based on a selected speech act. A method includes modifying synthesized speech of a spoken dialogue system, by (1) receiving a user utterance, (2) analyzing the user utterance to determine an appropriate speech act, and (3) generating a response of a type associated with the appropriate speech act, wherein in linguistic variables in the response are selected, based on the appropriate speech act.

Abstract: Systems, methods and computer-readable media associated with using a divergence metric to evaluate user simulations in a spoken dialog system. The method employs user simulations of a spoken dialog system and includes aggregating a first set of one or more scores from a real user dialog, aggregating a second set of one or more scores from a simulated user dialog associated with a user model, determining a similarity of distributions associated with each of the first set and the second set, wherein the similarity is determined using a divergence metric that does not require any assumptions regarding a shape of the distributions. It is preferable to use a Cramér-von Mises divergence.

Abstract: Disclosed herein are systems, methods, and computer-readable media for troubleshooting based on a probability distribution model. The method for troubleshooting based on a probability distribution model includes establishing a speech-based channel of interaction, establishing at least one non-speech-based channel of interaction, maintaining a probability distribution over time for each of a plurality of component variables describing the state of the product or service and state of the conversation, and troubleshooting a product or service by responding based on the probability distribution.

Abstract: Disclosed are systems and methods for recognizing speech in a spoken dialogue system.

Abstract: Disclosed are systems, methods and computer readable media for applying a multi-state barge-in acoustic model in a spoken dialogue system comprising the steps of (1) presenting a prompt to a user from the spoken dialog system. (2) receiving an audio speech input from the user during the presentation of the prompt, (3) accumulating the audio speech input from the user, (4) applying a non-speech component having at least two one-state Hidden Markov Models (HMMs) to the audio speech input from the user, (5) applying a speech component having at least five three-state HMMs to the audio speech input from the user, in which each of the five three-state HMMs represents a different phonetic category, (6) determining whether the audio speech input is a barge-in-speech input from the user, and (7) if the audio speech input is determined to be the barge-in-speech input from the user, terminating the presentation of the prompt.

Abstract: Disclosed are systems and methods for training a barge-in-model for speech processing in a spoken dialogue system comprising the steps of (1) receiving an input having at least one speech segment and at least one non-speech segment, (2) establishing a restriction of recognizing only speech states during speech segments of the input and non-speech states during non-speech segments of the input, (2) generating a hypothesis lattice by allowing any sequence of speech Hidden Markov Models (HMMs) and non-speech HMMs, (4) generating a reference lattice by only allowing speech HMMs for at least one speech segment and non-speech HMMs for at least one non-speech segment, wherein different iterations of training generates at least one different reference lattice and at least one reference transcription, and (5) employing the generated reference lattice as the barge-in-model for speech processing.

Abstract: A method that incorporates a detailed, precise procedure of designing a user interface by utilizing agent behavioral models. This method applies quantitative and qualitative agent behavioral models derived through the Categorize Describe-Model (CDM) methodology to the iterative design stage of interface development. The method includes: (1) categorizing at least two users; (2) validating targeted user behaviors and preferences; (3) capturing emergent behaviors and preferences; (4) tracking design requirements and implementations; (5) accommodating diversity in performance and preference during interactive testing; and (6) customizing a user interface design to each of the at least two users.

Abstract: A method for location-based communicating includes identifying a service provider based on information received from a requesting party at a networked communications apparatus. The method also includes determining whether a plurality of predefined service areas have been defined for the identified service provider. When the plurality of the at least one predefined service areas have been defined for the service provider, determinations are made as whether the requesting party is in one of the predefined service areas. When the requesting party is in a predefined service areas, information specified for a service location for the predefined service area is forwarded to the requesting party.

Abstract: Systems and techniques for estimation of item ratings for a user. A set of item ratings by multiple users is maintained, and similarity measures for all items are precomputed, as well as values used to generate interpolation weights for ratings neighboring a rating of interest to be estimated. A predetermined number of neighbors are selected for an item whose rating is to be estimated, the neighbors being those with the highest similarity measures. Global effects are removed, and interpolation weights for the neighbors are computed simultaneously. The interpolation weights are used to estimate a rating for the item based on the neighboring ratings, Suitably, ratings are estimated for all items in a predetermined dataset that have not yet been rated by the user, and recommendations are made of the user by selecting a predetermined number of items in the dataset having the highest estimated ratings.

Abstract: Systems and techniques for generating item ratings for a user in order to allow for recommendations of selected items for that user. A set of known ratings of different items for a plurality of users is collected and maintained, and these known ratings are used to estimate rating factors influencing ratings, including user and item factors. Initial user and item factors are estimated and new user and item factors are successively added, with the original rating factors being progressively shrunk so as to reduce their magnitude and their contribution to the rating estimation as successive factors are added. When an appropriate number of user and item factors has been estimated, the rating factors are used to estimate ratings of items for a user, and the estimated ratings are employed to generate recommendations for that user.

Abstract: A method and system include routing telephone calls from multiple private networks via public lines and trunks in a public switched telephone network (PSTN) to a host switch, at which the connections would begin to run parallel. The host switch routes the telephone calls via a private trunk group to a private facility, such as an electronic tandem network (ETN) node or an asynchronous transfer mode (ATM) switch. If the private trunk group is full or unavailable, the host switch routes the telephone calls over alternate private or public trunk groups and selected carriers.

Abstract: A method and system for error prevention and recovery of voice activated navigation through a menu having plural nodes provides situation dependent utterance verification by relating confirmation to utterance determination confidence levels. In one embodiment, a high confidence level results in implicit confirmation, a medium confidence level results in explicit confirmation and a low confidence level results in a concise interrogative prompt of a single word that requests the user to repeat the utterance. In situations where voice recognition is difficult, dual modality with DTMF navigation is provided as an option for menu selections.

Abstract: A central host performs an automated method of updating multiple remote devices. In one embodiment, the host recognizes a predetermined download time and, in advance of the download time, transmits a calendar update to multiple remote devices. The calendar update includes the download time, and the remote devices may utilize the download time to set calendar reminders for entering an active state. Within a short time after reaching the download time, the host pushes download data to the remote devices by broadcasting the download data. In one aspect, the host may receive message acknowledgements from remote devices in response to a first calendar update, and the host may automatically transmit additional calendar updates to any remote devices that did not receive the first calendar update. Additional embodiments involve related methods and the terminal devices that receive the updates.