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公开(公告)号:US20200218759A1
公开(公告)日:2020-07-09
申请号:US16736901
申请日:2020-01-08
Inventor: Rivarol Vergin , Jason Anthony McDowell , Emma Ehrhardt , Adam Paugh
Abstract: A system and method are presented for unsupervised discovery of similar audio events collected from an automated dialing campaign. Locality Sensitive Hashing (LSH) is used to search for similar audio clips within a large dataset of audio recordings. A database is queried for possible matches between an unknown audio clip and any reference carrier audio message present in the database. The database is updated when new, or changed, carrier audio messages are detected.
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公开(公告)号:US11290594B2
公开(公告)日:2022-03-29
申请号:US17363647
申请日:2021-06-30
Inventor: Rivarol Vergin , Jason Anthony McDowell , Adam M. Paugh
Abstract: A contact center system for performing call progress analysis including tone and speech classification according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the contact center system to determine a cumulative average of an entropy of an audio signal received by the contact center system, determine a cumulative average power spectral amplitude and a cumulative average spectral entropy of the audio signal, calculate a difference measure of the audio signal as a difference between the cumulative average of the entropy and the cumulative average spectral entropy, distinguish tones from speech of the audio signal based on the difference measure, and process one or more tones of the audio signal in response to identification of the one or more tones in the audio signal.
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公开(公告)号:US20210409543A1
公开(公告)日:2021-12-30
申请号:US17363647
申请日:2021-06-30
Inventor: Rivarol Vergin , Jason Anthony McDowell , Adam M. Paugh
Abstract: A contact center system for performing call progress analysis including tone and speech classification according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the contact center system to determine a cumulative average of an entropy of an audio signal received by the contact center system, determine a cumulative average power spectral amplitude and a cumulative average spectral entropy of the audio signal, calculate a difference measure of the audio signal as a difference between the cumulative average of the entropy and the cumulative average spectral entropy, distinguish tones from speech of the audio signal based on the difference measure, and process one or more tones of the audio signal in response to identification of the one or more tones in the audio signal.
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公开(公告)号:US10769204B2
公开(公告)日:2020-09-08
申请号:US16736901
申请日:2020-01-08
Inventor: Rivarol Vergin , Jason Anthony McDowell , Emma Ehrhardt , Adam Paugh
Abstract: A system and method are presented for unsupervised discovery of similar audio events collected from an automated dialing campaign. Locality Sensitive Hashing (LSH) is used to search for similar audio clips within a large dataset of audio recordings. A database is queried for possible matches between an unknown audio clip and any reference carrier audio message present in the database. The database is updated when new, or changed, carrier audio messages are detected.
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