At&t Intellectual Property I, L.p.

Nuance Communications, Inc.

I Dan Melamed

Bernard S Renger

Yeon-Jun Kim

Andrej Ljolje

David J Smith

Steven Neil Tischer

Amanda Joy Stent

Nobal Bikram Niraula

Hyuckchul Jung

Apparatuses, systems, methods, and media for filtering a data stream are provided. The data stream is partitioned into a plurality of data stream segments. An acoustic parameter is measured in each of the data stream segments. It is determined whether the acoustic parameter satisfies a first predetermined condition. The first predetermined condition includes a number of variances, in which the acoustic parameter exceeds a predetermined variance threshold, exceeding a predetermined number threshold. An extraneous portion of the data stream is identified in which the first predetermined condition is satisfied. It is determined whether the extraneous portion satisfies a second predetermined condition in the data stream. The extraneous portion is deleted from the data stream to produce a filtered data stream in response to the second predetermined condition being satisfied.

Automated detection and filtering of audio advertisements

A method of detecting pre-determined phrases to determine compliance quality of an agent includes determining a presence of a predetermined input based on a comparison between stored pre-determined phrases and a received communication, and determining a compliance rating of the agent based on a presence of a pre-determined phrase associated with the predetermined input in the communication.

Automatic disclosure detection

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.

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.

Voice-enabled dialog interaction with web pages

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.

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.

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.

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.

Correlated call analysis for identified patterns in call transcriptions

A data stream is filtered to produce a filtered data stream. The data stream is analyzed based on an acoustic parameter to determine whether a predetermined condition is satisfied. At least one extraneous portion of the data stream, in which the predetermined condition is satisfied, is determined. Thereafter, the at least one extraneous portion is deleted from the data stream to produce the filtered data stream.

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New York, NY, United States of America

I Dan Melamed