Other

Walter Bachtiger

Bruce Gordon Ramsay

Jan Jannink

Communication devices, such as headsets, point of sale terminals, and personal badges, are disclosed that include a microphone that receives and transmits audio content to a third party. The devices further include an automated speech recognition module, which is configured to receive the audio content and transcribe the audio content into text. In addition, the communication devices include a correlation module, which is configured to derive correlations between the audio content and a plurality of outputs—and transmit such correlations and outputs to the user of the communication device. The devices further include a user interface that displays a dynamic script checklist screen that is configured to communicate information in real-time to the person wearing or using the device, regarding a conversation that such person is having with a third party.

Communication devices with embedded audio content transcription and analysis functions

Systems for analyzing and categorizing audio content that has been transcribed into text are provided. The systems include at least one machine that has a central processing unit, random access memory, a correlation module, a feature abstraction module, and at least one database. The correlation module is configured to receive written transcripts (each of which has been generated from audio content) and derive a correlation between each written transcript and one or more attributes. The feature abstraction module is configured to receive instructions that identify specific words within the written transcripts; replace the specific words with surrogate words; and associate correlative meanings with each of the surrogate words. The database is configured to receive, record, and make accessible to the feature abstraction module a table of specific words, each of which is associated with corresponding surrogate words and correlative meanings associated with each of the surrogate words.

Systems and methods for creating dynamic features for correlation engines

A system for analyzing audio content is disclosed. In general, the system includes a transcription module, a correlation module, and a database. The transcription module is configured to receive a plurality of audio (and video) files generated by a plurality of different sources, execute speech-to-text transcriptions in real-time based on portions of audio content included within the audio files, and generate written transcripts of such transcriptions. The correlation module is configured to receive metadata associated with each of such audio files, derive correlations between such written transcripts and metadata, and report such correlations to a user of the system (and/or conclusions and classifications based on such correlations). The database is configured to receive, record, and make accessible for searching and review the correlations generated by the correlation module.

Systems and methods for analyzing audio content

Systems for transcribing, redacting, and scoring audio content are disclosed. The systems include at least one machine that has a central processing unit, random access memory, a transcription module, a redaction module, and at least one database in communication with the machine. The transcription module is configured to receive a plurality of audio files generated by a plurality of different sources, execute speech-to-text transcriptions based on such audio content, and generate written transcripts of such transcriptions. The redaction module is configured to identify personally identifiable information included in the written transcripts and anonymize such personally identifiable information to create anonymized written transcripts. The database is configured to receive, record, and make accessible for searching and review the anonymized written transcripts generated by the redaction module.

Systems for transcribing, anonymizing and scoring audio content

Systems for receiving, analyzing, and organizing audio content contained within a plurality of media files are disclosed. The systems generally include a server that is configured to receive, index, and store a plurality of media files, which are received by the server from a plurality of sources, within at least one database in communication with the server. In addition, the server is configured to make one or more of the media files accessible to and searchable by, one or more persons other than the original sources of such media files. Still further, the server may be configured to organize audio content included within each of the plurality of media files into bipartite graphs; segment media files into parts that exhibit similar attributes; extract and present meta data to a user that pertain to each media file; and employ multi-variable ranking methods to prioritize media file search results.

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Novato, CA, United States of America

Walter Bachtiger