Abstract: A computing system for managing and mapping source data and target data associated with a data transformation analyzes data quality testing data. Source data and target data include the data elements, data structures, and storage mechanisms for data associated with a data transformation. The computing system analyzes the data quality testing data for validation of the associated data transformation. The computing system identifies source data for input to the data transformation and target data for the result of the data transformation. The computing system stores identifiers associated with the source data and target data and records validated data lineage information for the data transformation. Based on a configuration, the computing system generates a data lineage map indicating the relationships between the source data and the target data associated with a number of data transformations that occur within the computing system.

Abstract: A computing system for monitoring, validating, and illustrating data transfer between computing devices in an enterprise computing system receives packet header information from network sensing modules. The computing system validates the records of the collected packet header information and discards erroneous records. The computing system corrects invalidly recorded information in the records. The computing system identifies records corresponding to unidirectional and bidirectional data transfer, generating a single data transfer record for a unidirectional data transfer and a pair of data transfer records for a bidirectional data transfer. The computing system stores the data transfer records in a standard data structure accessible at a user interface. The computing system generates a graphical directionality map for display at the user interface based on the input data transfer records to depict the data transfer relationships between computing devices.

Abstract: A computing system for managing and mapping source data and target data associated with a data transformation analyzes data quality testing data. Source data and target data include the data elements, data structures, and storage mechanisms for data associated with a data transformation. The computing system analyzes the data quality testing data for validation of the associated data transformation. The computing system identifies source data for input to the data transformation and target data for the result of the data transformation. The computing system stores identifiers associated with the source data and target data and records validated data lineage information for the data transformation. Based on a configuration, the computing system generates a data lineage map indicating the relationships between the source data and the target data associated with a number of data transformations that occur within the computing system.

Abstract: A computing system for managing and mapping source data and target data associated with a data transformation analyzes data quality testing data. Source data and target data include the data elements, data structures, and storage mechanisms for data associated with a data transformation. The computing system analyzes the data quality testing data for validation of the associated data transformation. The computing system identifies source data for input to the data transformation and target data for the result of the data transformation. The computing system stores identifiers associated with the source data and target data and records validated data lineage information for the data transformation. Based on a configuration, the computing system generates a data lineage map indicating the relationships between the source data and the target data associated with a number of data transformations that occur within the computing system.

Abstract: A computing system for monitoring, validating, and illustrating data transfer between computing devices in an enterprise computing system receives packet header information from network sensing modules. The computing system validates the records of the collected packet header information and discards erroneous records. The computing system corrects invalidly recorded information in the records. The computing system identifies records corresponding to unidirectional and bidirectional data transfer, generating a single data transfer record for a unidirectional data transfer and a pair of data transfer records for a bidirectional data transfer. The computing system stores the data transfer records in a standard data structure accessible at a user interface. The computing system generates a graphical directionality map for display at the user interface based on the input data transfer records to depict the data transfer relationships between computing devices.

Abstract: A computing system for monitoring, validating, and illustrating data transfer between computing devices in an enterprise computing system receives packet header information from network sensing modules. The computing system validates the records of the collected packet header information and discards erroneous records. The computing system corrects invalidly recorded information in the records. The computing system identifies records corresponding to unidirectional and bidirectional data transfer, generating a single data transfer record for a unidirectional data transfer and a pair of data transfer records for a bidirectional data transfer. The computing system stores the data transfer records in a standard data structure accessible at a user interface. The computing system generates a graphical directionality map for display at the user interface based on the input data transfer records to depict the data transfer relationships between computing devices.

Abstract: A computing system for monitoring, validating, and illustrating data transfer between computing devices in an enterprise computing system receives packet header information from network sensing modules. The computing system validates the records of the collected packet header information and discards erroneous records. The computing system corrects invalidly recorded information in the records. The computing system identifies records corresponding to unidirectional and bidirectional data transfer, generating a single data transfer record for a unidirectional data transfer and a pair of data transfer records for a bidirectional data transfer. The computing system stores the data transfer records in a standard data structure accessible at a user interface. The computing system generates a graphical directionality map for display at the user interface based on the input data transfer records to depict the data transfer relationships between computing devices.

Abstract: A computing system for managing and mapping source data and target data associated with a data transformation analyzes data quality testing data. Source data and target data include the data elements, data structures, and storage mechanisms for data associated with a data transformation. The computing system analyzes the data quality testing data for validation of the associated data transformation. The computing system identifies source data for input to the data transformation and target data for the result of the data transformation. The computing system stores identifiers associated with the source data and target data and records validated data lineage information for the data transformation. Based on a configuration, the computing system generates a data lineage map indicating the relationships between the source data and the target data associated with a number of data transformations that occur within the computing system.

Abstract: Techniques are disclosed for securely classifying or decoding data. By way of example, a method of determining a most likely sequence for a given data set comprises a computer system associated with a first party performing the following steps. An encrypted model is obtained from a second party. The encrypted model is utilized to determine cost values associated with a particular sequence of observed outputs associated with the given data set. The cost values are sent to the second party. At least one index of a minimum cost value determined by the second party from the cost values sent thereto is obtained from the second party. A minimum cost sequence resulting from the at least one index is determined as the most likely sequence.

Abstract: Methods and systems for speech recognition processing are described. In an example, a computing device may be configured to receive information indicative of a frequency of submission of a search query to a search engine for a search query composed of a sequence of words. Based on the frequency of submission of the search query exceeding a threshold, the computing device may be configured to determine groupings of one or more words of the search query based on an order in which the one or more words occur in the sequence of words of the search query. Further, the computing device may be configured to provide information indicating the groupings to a speech recognition system.

Abstract: Methods and systems for speech recognition processing are described. In an example, a computing device may be configured to receive information indicative of a frequency of submission of a search query to a search engine for a search query composed of a sequence of words. Based on the frequency of submission of the search query exceeding a threshold, the computing device may be configured to determine groupings of one or more words of the search query based on an order in which the one or more words occur in the sequence of words of the search query. Further, the computing device may be configured to provide information indicating the groupings to a speech recognition system.

Abstract: A computer-implemented technique for transcribing audio data includes generating, along a vertical axis on a display of a client device, an image representing audio content. The technique further includes receiving, from a user of the client device, a selection of a portion of the image; and generating, via an audio module of the client device, an audio output corresponding to the selected portion of the image. The technique further includes receiving, from the user, a selection indicating a position along the vertical axis on the display to enter a text portion representing the audio output, wherein the position is aligned to the selected portion of the image. The technique further includes receiving, from the user, the text portion representing the audio output; and displaying, on the display, the text portion at the position, wherein the text portion extends along a horizontal axis on the display.

Abstract: Methods and systems for speech recognition processing are described. In an example, a computing device may be configured to receive information indicative of a frequency of submission of a search query to a search engine for a search query composed of a sequence of words. Based on the frequency of submission of the search query exceeding a threshold, the computing device may be configured to determine groupings of one or more words of the search query based on an order in which the one or more words occur in the sequence of words of the search query. Further, the computing device may be configured to provide information indicating the groupings to a speech recognition system.

Abstract: A system for remediating hydrates has a heat storage box with an interior volume, a heater for heating fluid flowing into the hot fluid inlet of the heat storage box, a heat exchanger positioned in the interior volume of the heat storage box so as to be in heat exchange relationship with heated water from the interior volume of the heat storage box, and a line connected to a heated water outlet of the heat exchanger so as to be manipulated toward a location of the hydrates for the purpose of delivering the heated water toward the hydrates. The heat exchanger is piping extends in a serpentine pattern within an upper portion of the heat storage box. The line can be connected to a hot stab suitable for a manipulation by an ROV.

Abstract: This invention relates to methods of treating pulmonary diseases in patients that beta adrenergic receptor agonist therapy is not effective. The method comprises the steps of: identifying a patient who suffers from a pulmonary disease and has reduced responsiveness to treatment with one or more beta adrenergic receptor agonists, and administering to the patient an effective amount of a Rho kinase inhibitor compound, wherein said pulmonary disease is selected from the group consisting of: asthma, chronic obstructive pulmonary disease, respiratory tract illness caused by respiratory syncytial virus infection such as RSV-induced wheezing, airway hyperreactivity, or bronchiolitis, bronchiectasis, alpha-1-antitrypsin deficiency, lymphangioleiomyomatosis, cystic fibrosis, bronchiolitis or wheezing caused by agents other than respiratory syncytial virus, chronic bronchitis, and occupational lung diseases.

Abstract: Techniques are disclosed for securely classifying or decoding data. By way of example, a method of determining a most likely sequence for a given data set comprises a computer system associated with a first party performing the following steps. An encrypted model is obtained from a second party. The encrypted model is utilized to determine cost values associated with a particular sequence of observed outputs associated with the given data set. The cost values are sent to the second party. At least one index of a minimum cost value determined by the second party from the cost values sent thereto is obtained from the second party. A minimum cost sequence resulting from the at least one index is determined as the most likely sequence.

Abstract: Methods and apparatus are provided for processing an information signal containing content presented in accordance with at least one modality. In one aspect of the present invention, a method of processing an information signal containing content presented in accordance with at least one modality, comprises the steps of: (i) obtaining the information signal; (ii) performing content detection on the information signal to detect whether the information signal includes particular content presented in accordance with the at least one modality; and (iii) generating a control signal, when the particular content is detected, for use in controlling a rendering property of the particular content and/or implementation of a specific action relating to the particular content.

Abstract: Apparatus for presenting images representative of one or more words in an utterance with corresponding decoded speech includes, in one aspect, a visual detector for capturing images of body movements (e.g., lip and/or mouth movements) corresponding to the one or more words in the utterance coupled to a visual feature extractor. The visual feature extractor receives time information from an automatic speech recognition (ASR) system and operatively processes the captured images from the visual detector to generate one or more image segments based on the time information relating to one or more decoded words in the utterance, each image segment corresponding to a decoded word in the utterance. An image player coupled to the visual feature extractor presents an image segment with a corresponding decoded word.

Abstract: A method and apparatus are disclosed for transcribing speech when a number of speakers are participating. A number of different speech recognition systems, each with a different speaker model, are executed in parallel. When the identity of all of the participating speakers is known and a speaker model is available for each participant, each speech recognition system employs a different speaker model suitable for a corresponding participant. Each speech recognition system decodes the speech and generates a corresponding confidence score. The decoded output having the highest confidence score is selected for presentation to a user. When all participating speakers are not known, or when there are too many participants to implement a unique speaker model for each participant, a speaker independent speech recognition system is employed together with a speaker specific speech recognition system.

Abstract: Methods and apparatus for encoding an arbitrary digital message, e.g., a watermark, into a speech signal are provided. In one aspect of the invention, a method of embedding digital information in a speech signal comprises the steps of: (i) generating a spread spectrum signal, wherein the spread spectrum signal is representative of the digital information and further wherein the spread spectrum signal is within a frequency bandwidth corresponding to speech; and (ii) embedding the spread spectrum signal in the speech signal. By making use of spread spectrum technology and speech analysis techniques in the signal generation and embedding operations, respectively, significantly higher bit rates can be embedded into the speech signal without effecting the perceived quality of the recording. The invention also provides methods and apparatus for recovering the digital information embedded in the speech signal.