Abstract: Systems and methods of the present disclosure enable identifying labelling a source signal data signature using a computing system to test candidate chain oracle models by iteratively performing, for each particular number of neural network models in the range of the number of neural network models, a predetermined number of trials, where each trail includes: randomly selecting the particular number of neural network models; utilizing each neural network model of the particular number of neural network models to generate a respective predictive output based on the second input data; utilizing the LR model to generate a trial output based on the respective predictive output, and determining a model trial performance based on: the trial output, the second output data, and at least one machine learning performance metric. A chain oracle model from the candidate chain oracle models is determined based on the machine learning performance metric.

Abstract: Systems and methods of the present disclosure enable signal detection and/or recognition in audio recordings using one or more signal splitting techniques including a computing system configured therefor. The computing system may receive a signal data signature of time-varying data, the time-varying data having an event of interest and segment the signal data signature to isolate the event of interest by utilizing a first Hidden Markov model (HMM) configured to segment the signal data signature into at least one segment of the time-varying data by identifying state changes indicative of events of interest and where the at least one segment of the time-varying data has a first length. The computing system may use a second HMM configured to segment the at least one segment into a sub-segment of the time-varying data by identifying state changes within the at least one segment.

Abstract: A system and method for non-native speaker verification based on using N-best speech recognition results.

Abstract: A system and method for speaker verification based on using N-best speech recognition results.

Abstract: A system and method for robust voiced-based communication of humans and Internet of Things.

Abstract: A system and method for building robust voice-based human-machine interface to improve quality of recognition and usability of the communication is provided.

Abstract: A system and method for analyzing the results of voice-based human-machine interaction to recommend adjustments in user speech to improve quality of recognition and usability of communication is provided.

Abstract: A system and methods for analyzing pronunciation, detecting errors and providing automatic feedback to help non-native speakers improve pronunciation of a foreign language is provided that employs publicly available, high accuracy third-party automatic speech recognizers available via the Internet to analyze and identify mispronunciations.

Abstract: Provided are systems and methods for building a domain-specific facts network. A system includes an optical character recognition (OCR) system configured to perform OCR on an image of a domain-specific document. The system also includes an OCR results analysis system configured to analyze the results of OCR of the domain-specific document. The system also includes a fact extraction system configured to extract data from the domain-specific document based on the analysis of the results of the OCR. The system also includes a web fact extraction system configured to extract data from the Internet; wherein the data is related to the data in the domain-specific document. The system also includes a validation system configured to validate data extracted from the domain-specific document and the Internet. The validated data is stored in a domain-specific facts network.

Abstract: A system and methods for automatically assigning of classification codes to a business based on information about the business collected from the Internet are provided in which data extracted from trawling the Internet is compared to a node structure based on a taxonomy of a selected business classification code system.

Abstract: A system and methods for automatically assigning of classification codes to a business based on information about the business collected from the Internet are provided in which data extracted from trawling the Internet is compared to a node structure based on a taxonomy of a selected business classification code system.

Abstract: A system and methods for analyzing pronunciation, detecting errors and providing automatic feedback to help non-native speakers improve pronunciation of a foreign language is provided that employs publicly available, high accuracy third-party automatic speech recognizers available via the Internet to analyze and identify mispronunciations.

Abstract: Provided are system and methods for automatically generating a temporal social network. A method includes extracting a plurality of emails from an email server and extracting pre-facts from the plurality of emails. The method further includes navigating the Internet and extracting pre-facts from the Internet that are related to the pre-facts extracted from the plurality of emails and facts already stored in a temporal social network database. The method further includes determining pre-facts that can be declared facts and storing the facts in the temporal social network database.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: Provided are methods and systems that extract facts of unstructured documents and build an oracle for various domains. The present invention addresses the problem of efficient finding and extraction of facts about a particular subject domain from semi-structured and unstructured documents, makes inferences of new facts from the extracted facts and the ways of verification of the facts, thus becoming a source of knowledge about the domain to be effectively queried. The methods and systems can also extract temporal information from unstructured and semi-structured documents, and can find and extract dynamically generated documents from Deep or Dynamic Web.

Abstract: A method to determine transaction distribution among a plurality of transaction processing systems may include calculating estimated handling resources for each of the plurality of transaction processing systems based upon measured actual handling resources and identified scheduled handling resources. Transaction allocations may be determined for each of the transaction processing systems based upon the estimated handling resources.