Abstract: Techniques for training and applying prosody models for speech synthesis are provided. A speech recognition engine processes audible speech to produce text annotated with prosody information. A prosody model is trained with this annotated text. After initial training, the model is applied during speech synthesis to generate speech with non-standard prosody from input text. Multiple prosody models can be used to represent different prosody styles.

Abstract: Implementations and techniques for distributed-type Markov chain Monte Carlo are generally disclosed.

Abstract: Methods evaluating propositions about timeseries are provided. A service accepts a proposition about one or more timeseries, and the service monitors those timeseries. A proposition can reference multiple timeseries with different time intervals and different units. When new data is available, the service evaluates the proposition to determine if the proposition is true, false, or neither. The service automatically performs unit conversions and selects relevant, previously observed values before evaluating a proposition when new data is available.

Abstract: Implementations and techniques for flash memory-type hash tables are generally disclosed.

Abstract: Techniques for training and applying prosody models for speech synthesis are provided. A speech recognition engine processes audible speech to produce text annotated with prosody information. A prosody model is trained with this annotated text. After initial training, the model is applied during speech synthesis to generate speech with non-standard prosody from input text. Multiple prosody models can be used to represent different prosody styles.

Abstract: Methods and systems for collaborative, incremental specification of identities are provided. Users of an information processing system collaborate to define and refine identities of entities, and users can create references for those identities. Relationships among the identifiers imply related keywords that can be used to improve search, navigation, and integration. Relationship factoring can be used to maintain efficient logical and physical representations.

Abstract: A program product for modeling video network reliability includes a computer-usable medium that encodes computer instructions. The computer instructions cause a data processing system to perform modeling operations. Those operations include obtaining historical data for multiple video conferences, and executing a modeling algorithm that produces a model representing the historical data. The model can be analyzed to identify opportunities for improving reliability of a video network. In an example embodiment, the computer instructions output results that a user can use reconfigure the video network for improved reliability. In another embodiment, the computer instructions analyze the model to identify opportunities for improving reliability of the video network, and the computer instructions automatically reconfigure the video network, based on the identified opportunities. The modeling algorithm may be a decision tree algorithm, such as the ID3-based algorithm known as C4.5.

Abstract: An event processor accepts event representations that comprise perdurance and epistemological relationships among entities or entity references, and the event processor stores information derived from event representations in a datastore. A search component searches entities based on local epistemological and perdurance properties, and a perdurance engine traverses the perdurance relationships obtained from the datastore. An epistemological propagator generates derived epistemological relationships using the perdurance engine and local epistemological data obtained from the datastore.

Abstract: Methods and systems for collaborative, incremental specification of identities are provided. Users of an information processing system collaborate to define and refine identities of entities, and users can create references for those identities. Relationships among the identifiers imply related keywords that can be used to improve search, navigation, and integration. Relationship factoring can be used to maintain efficient logical and physical representations.

Abstract: Technologies described herein generally relate to allocating annunciators to provide annunciations in response to annunciation requests in a computing device. The computing device may include a platform application, which may be configured to receive annunciation requests from applications for providing annunciations. The platform application may discover annunciators capable of providing the at least one annunciation. The platform application may schedule the annunciation request with one of the discovered annunciators and upon scheduling the annunciation request with one of the discovered annunciator, may cause the scheduled annunciator to provide the annunciation in response to the annunciation request.

Abstract: Techniques for verifying work performed by untrusted computing nodes are provided. A central computing system determines a first computation that is to be performed, at least in part, by a first untrusted computing node. The central computing system also determines a transformation function that is applied to the first computation to produce an equivalent second computation that is to be performed, at least in part, by a second untrusted computing node. The central computing system assigns the first computation to the first untrusted computing node and the second computation to the second untrusted computing node while keeping the transformation function secret. The central computing system receives a first result for the first computation and a second result for the second computation. The central computing system analyzes the first and second results to verify the work performed by the first and second untrusted computing nodes.

Abstract: Methods and systems for providing a network-accessible text-to-speech synthesis service are provided. The service accepts content as input. After extracting textual content from the input content, the service transforms the content into a format suitable for high-quality speech synthesis. Additionally, the service produces audible advertisements, which are combined with the synthesized speech. The audible advertisements themselves can be generated from textual advertisement content.

Abstract: Methods and systems for providing a network-accessible text-to-speech synthesis service are provided. The service accepts content as input. After extracting textual content from the input content, the service transforms the content into a format suitable for high-quality speech synthesis. Additionally, the service produces audible advertisements, which are combined with the synthesized speech. The audible advertisements themselves can be generated from textual advertisement content.

Abstract: Implementations and techniques for distributed-type Markov chain Monte Carlo are generally disclosed.

Abstract: Implementations and techniques for flash memory-type hash tables are generally disclosed.

Abstract: Methods evaluating propositions about timeseries are provided. A service accepts a proposition about one or more timeseries, and the service monitors those timeseries. A proposition can reference multiple timeseries with different time intervals and different units. When new data is available, the service evaluates the proposition to determine if the proposition is true, false, or neither. The service automatically performs unit conversions and selects relevant, previously observed values before evaluating a proposition when new data is available.

Abstract: A system and method for diagnosis of video device performance in the transfer of audio visual data over a video network physically interfaces with the network to receive audio visual data associated with the video device of interest and uses diagnostic tools to access the audio visual data for determination of performance statistics with analysis of the accessed audio visual data, including video device jitter, latency, throughput, and packet loss.

Abstract: Methods and systems for collaborative, incremental specification of identities are provided. Users of an information processing system collaborate to define and refine identities of entities, and users can create references for those identities. Relationships among the identifiers implied related keywords that can be used to improve search, navigation, and integration. Relationship factoring can be used to maintain efficient logical and physical representations.

Abstract: Techniques for training and applying prosody models for speech synthesis are provided. A speech recognition engine processes audible speech to produce text annotated with prosody information. A prosody model is trained with this annotated text. After initial training, the model is applied during speech synthesis to generate speech with non-standard prosody from input text. Multiple prosody models can be used to represent different prosody styles.

Abstract: An apparatus and method for converting information from a text format to an audio format using distributed processing. A first set of computer readable program instructions receive information from a data source, convert the information from the text format to an intermediate format, and transmit the information in the intermediate format to a second data processor. A second set of program instructions, executable on the second data processor, are also included to convert the information from the intermediate format to the audio format. The first set of program instructions are executed on a remote, or server side, data processor, while the second set of program instructions are executed on a client side data processor. The first set of program instructions expand the information in the text format into phonemes using a grapheme to phoneme dictionary. The second set of program instructions convert the phonemes to audio output signals.