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1.发明申请公开(公告)号：US20220116493A1
公开(公告)日：2022-04-14
申请号：US17645179
申请日：2021-12-20
Applicant: Capital One Services, LLC
Inventor： Zhiyuan GUAN , Carl S. ASHBY , Isabelle Alice Yvonne MOULINIER , Mark E. DICKISON
Abstract: A computer-implemented method for determining potentially undesirable voices, according to some embodiments, includes: receiving a plurality of audio recordings, the plurality of audio recordings comprising voices associated with undesirable activity, and determining a plurality of audio components of each of the plurality of audio recordings. The method may further comprise generating a multi-dimensional vector of audio components, from the plurality of audio components, for each of the plurality of audio recordings to generate a plurality of multi-dimensional vectors of audio components, and comparing audio components between the plurality of multi-dimensional vectors of audio components to determine a plurality of clusters of multi-dimensional vectors, each cluster of the plurality of clusters comprising two or more of the plurality of multi-dimensional vectors of audio components, wherein each cluster of the plurality of clusters corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the plurality of clusters.
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2.发明公开公开(公告)号：US20240195905A1
公开(公告)日：2024-06-13
申请号：US18581804
申请日：2024-02-20
Applicant: Capital One Services, LLC
Inventor： Zhiyuan GUAN , Carl S. ASHBY , Isabelle Alice Yvonne MOULINIER , Mark E. DICKISON
CPC classification number: H04M1/67 , G10L17/00 , H04M3/385 , H04M2201/41
Abstract: A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters.
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公开(公告)号：US20230326464A1
公开(公告)日：2023-10-12
申请号：US18331920
申请日：2023-06-08
Applicant: Capital One Services, LLC
Inventor： Bozhao TAN , Isabelle Alice Yvonne MOULINIER , David ALMQUIST , June WU
CPC classification number: G10L17/04 , G10L17/02 , G10L17/06 , H04M3/42221
Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user’s voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.
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4.发明申请公开(公告)号：US20200304622A1
公开(公告)日：2020-09-24
申请号：US16845171
申请日：2020-04-10
Applicant: Capital One Services, LLC
Inventor： Zhiyuan GUAN , Carl S. ASHBY , Isabelle Alice Yvonne MOULINIER , Mark E. DICKISON
Abstract: A computer-implemented method for determining potentially undesirable voices, according to some embodiments, includes: receiving a plurality of audio recordings, the plurality of audio recordings comprising voices associated with undesirable activity, and determining a plurality of audio components of each of the plurality of audio recordings. The method may further comprise generating a multi-dimensional vector of audio components, from the plurality of audio components, for each of the plurality of audio recordings to generate a plurality of multi-dimensional vectors of audio components, and comparing audio components between the plurality of multi-dimensional vectors of audio components to determine a plurality of clusters of multi-dimensional vectors, each cluster of the plurality of clusters comprising two or more of the plurality of multi-dimensional vectors of audio components, wherein each cluster of the plurality of clusters corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the plurality of clusters.
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