UNDERSTANDING AND RANKING RECORDED CONVERSATIONS BY CLARITY OF AUDIO

    公开(公告)号:US20230215458A1

    公开(公告)日:2023-07-06

    申请号:US18046476

    申请日:2022-10-13

    申请人: Calabrio, Inc.

    IPC分类号: G10L25/60 G10L25/27

    CPC分类号: G10L25/60 G10L25/27

    摘要: Systems and methods are provided for generating quality scores associated with a contact (e.g., a telephonic call including an agent) and with agents. In particular, the disclosed technology determines types of frames of content of the contact into a speech and/or a noise, the noise further classified into a standard noise and a non-standard noise. A frame type determiner determines a type of a frame based on a waveform analysis and/or use of speech and noise models that are trained through machine learning. The standard noise includes noise that is expected and consistent across contacts and agents (e.g., a hold music). The non-standard noise includes a noise that is unexpected in occasion and audio sources (e.g., a barking dog, a siren from street, and the like). The disclosed technology enables assessing contacts and agents based on issues associated with remote working environment that vary among agents.

    SYSTEMS AND METHODS FOR DETECTING EMERGING EVENTS

    公开(公告)号:US20230214594A1

    公开(公告)日:2023-07-06

    申请号:US18064891

    申请日:2022-12-12

    申请人: Calabrio, Inc.

    IPC分类号: G06F40/289 G06F40/30 H04M3/51

    摘要: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

    Systems and methods for detecting emerging events

    公开(公告)号:US11922122B2

    公开(公告)日:2024-03-05

    申请号:US18064891

    申请日:2022-12-12

    申请人: Calabrio, Inc.

    IPC分类号: G06F40/289 G06F40/30 H04M3/51

    摘要: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

    Devices, systems, and methods for audio sanitization

    公开(公告)号:US12014751B2

    公开(公告)日:2024-06-18

    申请号:US18066023

    申请日:2022-12-14

    申请人: Calabrio, Inc.

    IPC分类号: G11B20/10 G11B27/022

    CPC分类号: G11B20/10 G11B27/022

    摘要: Disclosed herein are computer-implemented devices, systems, and methods for sanitizing an audio recording of a conversation. In an example, such a computer-implemented method can include selecting a transcript of the conversation. The transcript can include a plurality of redaction markers within the audio recording. The plurality of redaction markers can be identifiable via one or more redaction marker start and/or end points. The computer-implemented method can include identifying a first redaction marker and a second redaction marker of the one or more redaction markers. The first redaction marker can be different from the second redaction marker. In this regard, a redaction segment is formable between the first and second redaction markers. The computer-implemented method can include selecting the audio recording. The computer-implemented method can include redacting the audio recording between the first redaction marker and the second redaction marker.

    SYSTEMS AND METHODS FOR RAPPORT DETERMINATION

    公开(公告)号:US20230206160A1

    公开(公告)日:2023-06-29

    申请号:US18046469

    申请日:2022-10-13

    申请人: Calabrio, Inc.

    IPC分类号: G06Q10/06 H04M3/51

    摘要: Systems and methods are provided for determining a rapport score for a contact. Data associated with a contact may include an audio recording, a transcript, metadata, and/or other contact data collected during or generated after a contact. One or more rapport models are applied to the contact data to generate rapport metrics that capture one aspect of the rapport during a contact. Rapport metrics can be compared to target rapport metrics to determine whether the rapport metric indicates positive rapport during the contact. From rapport metrics, a rapport score can be generated that indicates the overall rapport for the contact. Rapport metrics, rapport scores, and other information associated with a contact can be provided in a manner that allows for useful evaluation of whether contact participants developed positive rapport during a contact and/or a series of contacts over time.

    INTELLIGENT PHRASE DERIVATION GENERATION

    公开(公告)号:US20220343071A1

    公开(公告)日:2022-10-27

    申请号:US17727734

    申请日:2022-04-23

    申请人: Calabrio, Inc.

    摘要: Disclosed herein are computer-implemented methods for intelligent phrase generation. Example methods include acquiring a bulk data input that includes one or more seed phrases that are requested for derivation, inputting the bulk data input into a model, and returning an arrangement result to a user. The model is configured to determine one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase. The model is configured to determine one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases. The model is configured to determine a characteristic of the respective seed phrase, the one or more arrangement corresponding to the characteristic of the respective seed phrase.