Abstract: Apparatuses, systems, methods, and media for filtering a data stream are provided. The data stream is analyzed based on an acoustic parameter to determine extraneous portions in which a first predetermined condition is satisfied. When a first extraneous portion is separated from a second extraneous portion by a non-extraneous portion in which the first predetermined condition is not satisfied, it is determined whether the first extraneous portion being separated from the second extraneous portion by the non-extraneous portion satisfies a second predetermined condition. At least one of the first extraneous portion and the second extraneous portion is deleted from the data stream to produce a filtered data stream in response to determining the second predetermined condition is satisfied.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.

Abstract: Methods, apparatuses, and media for filtering a data stream are provided. The data stream is partitioned into a plurality of data stream segments. An acoustic parameter of each of the data stream segments is measured, and it is determined whether the acoustic parameter of each of the data stream segments satisfies a predetermined condition. Extraneous segments of the data stream segments are identified in which the predetermined condition is satisfied, and it is determined whether the extraneous segments have a predetermined relationship in the data stream. The extraneous segments are deleted from the data stream to produce a filtered data stream in response to the extraneous segments having the predetermined relationship.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

Abstract: A method of detecting pre-determined phrases to determine compliance quality includes determining whether a precursor event has occurred based on a comparison between stored pre-determined phrases and a received communication, and determining a compliance rating based on a presence of a pre-determined phrase associated with the precursor event in the communication.

Abstract: For fast creation of a gfs2 file system, a master metadata image of a master file system is used for generating a small file systems identical in structure in the gfs2 file system containing a large sequential file.

Abstract: In a computer storage system, crash dump files are secured without power fencing in a cluster of a plurality of nodes connected to a storage system. Upon an occurrence of a panic of a crashing node and prior to receiving a panic message of the crashing node by a surviving node loading, in the cluster, a capturing node to become active, prior to a totem token being declared lost by the surviving node, for capturing the crash dump files of the crashing node, while restricting the capturing node from gaining access to the storage system for preventing unsynchronized access to the storage system in order to prevent data corruption.

Abstract: A distributed node service management system utilizes multiple existing processor nodes of a distributed computing system, in support of the primary data processing functions of the distributed computing system. The distributed node service management system coordinates and manages service functions on behalf of processor nodes of the distributed computing system. Other features and aspects may be realized, depending upon the particular application.

Abstract: A distributed node service management system utilizes multiple existing processor nodes of a distributed computing system, in support of the primary data processing functions of the distributed computing system. The distributed node service management system coordinates and manages service functions on behalf of processor nodes of the distributed computing system. Other features and aspects may be realized, depending upon the particular application.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

Abstract: Disclosed herein are systems, methods, and computer-readable storage devices for performing per-channel automatic speech recognition. An example system configured to practice the method combines a first audio signal of a first speaker in a communication session and a second audio signal from a second speaker in the communication session as a first audio channel and a second audio channel. The system can recognize speech in the first audio channel of the recording using a first model associated with the first speaker, and recognize speech in the second audio channel of the recording using a second model associated with the second speaker, wherein the first model is different from the second model. The system can generate recognized speech as an output from the communication session. The system can identify the models based on identifiers of the speakers, such as a telephone number, an IP address, a customer number, or account number.

Abstract: Voice enabled dialog with web pages is provided. An Internet address of a web page is received including an area with which a user of a client device can specify information. The web page is loaded using the received Internet address of the web page. A task structure of the web page is then extracted. An abstract representation of the web is then generated. A dialog script, based on the abstract representation of the web page is then provided. Spoken information received from the user is converted into text and the converted text is inserted into the area.

Abstract: In a computer storage system, crash dump files are secured without power fencing in a cluster of a plurality of nodes connected to a storage system. Upon an occurrence of a panic of a crashing node and prior to receiving a panic message of the crashing node by a surviving node loading, in the cluster, a capturing node to become active, prior to a totem token being declared lost by the surviving node, for capturing the crash dump files of the crashing node, while manipulating the surviving node to continue to operate under the assumption the power fencing was performed on the crashing node.

Abstract: A method of detecting pre-determined phrases to determine compliance quality is provided. The method includes determining whether at least one of an event or a precursor event has occurred based on a comparison between pre-determined phrases and a communication between a sender and a recipient in a communications network, and rating the recipient based on the presence of the pre-determined phrases associated with the event or the presence of the pre-determined phrases associated with the precursor event in the communication.

Abstract: In a computer storage system, crash dump files are secured without power fencing in a cluster of a plurality of nodes connected to a storage system. Upon an occurrence of a panic of a crashing node and prior to receiving a panic message of the crashing node by a surviving node loading, in the cluster, a capturing node to become active, prior to a totem token being declared lost by the surviving node, for capturing the crash dump files of the crashing node, while manipulating the surviving node to continue to operate under the assumption the power fencing was performed on the crashing node.

Abstract: A deduplication storage capacity is estimated as a function of an expected deduplication ratio, the expected deduplication ratio being a combined average of a current deduplication ratio and a configured deduplication ratio, the current deduplication ratio depending on the data currently stored in the deduplication storage, and the configured deduplication ratio being an estimate made at a configuration stage of the deduplication computing storage environment.

Abstract: A distributed node service management system utilizes multiple existing processor nodes of a distributed computing system, in support of the primary data processing functions of the distributed computing system. The distributed node service management system coordinates and manages service functions on behalf of processor nodes of the distributed computing system. Other features and aspects may be realized, depending upon the particular application.

Abstract: A distributed node service management system utilizes multiple existing processor nodes of a distributed computing system, in support of the primary data processing functions of the distributed computing system. The distributed node service management system coordinates and manages service functions on behalf of processor nodes of the distributed computing system. Other features and aspects may be realized, depending upon the particular application.

Abstract: A method of correlating received communication data with operational communication characteristics is provided. The method includes receiving audible input from a source in a communication over a communications network, recording the received audible input, and transcribing the recorded audible input into a transcript. The method further includes outputting the transcript, specifying features of the transcript to be analyzed, specifying and recording operational communication characteristics particular to the communication, analyzing the transcript for the specified features to identify patterns associated with the audible input, computing statistical correlations of the identified patterns with the operational communication characteristics, and outputting results of the computed statistical correlations on a user interface.