-
公开(公告)号：US11315065B1
公开(公告)日：2022-04-26
申请号：US16721205
申请日：2019-12-19
摘要： Method starts with processing, by a processor, audio signal to generate audio caller utterance. Processor generates an agent action ranking score associated with the audio caller utterance and determines whether the agent action ranking score is below a minimum threshold. In response to determining that the agent action ranking score is below the minimum threshold, processor generates a transcribed caller utterance using a speech-to-text processor and generates an identified task based on the transcribed caller utterance. Using the transcribed caller utterance and a task-specific agent coaching neural network associated with the identified task, processor generates an ideal response. Processor generates a feedback result and causes the feedback result to be displayed on a display device of the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US20210297532A1
公开(公告)日：2021-09-23
申请号：US17338873
申请日：2021-06-04
IPC分类号： H04M3/51 , G06N3/04 , G16H10/60 , G10L15/26 , G06F40/295
摘要： A method starts with processor retrieving member's initial context data. Processor receives a string that is a transcribed utterance or an electronic message from the communication session established between member client device and agent client device. Processor determines potential relationships between the member and a patient that is the subject of the string by processing the string using Long Short-Term Memory (LSTM) neural networks to generate a plurality of relationship values. Relationship values are associated with relationship types. Processor generates weight values based on member's initial context data for each of the plurality of relationship types, and generates probability values for the relationship types based on the relationship values and the weight values. Processor narrows the potential relationships, generates relationship data that includes the narrowed potential relationships, and causes the relationship data to be displayed by the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US11310365B2
公开(公告)日：2022-04-19
申请号：US17306285
申请日：2021-05-03
摘要： Method starts with processing, by processor, receiving audio signal of communication session between member-related client device and agent client device. Processor processes audio signal to generate caller utterances, each including audio caller utterance and transcribed caller utterance. Caller utterances includes first and second caller utterances. For each of the plurality of caller utterances, processor generates relationship data based on transcribed caller utterance, generates identified task based on transcribed caller utterance, and generates task completion probability result based on audio caller utterance, relationship data, and identified task, and stores the task completion probability result in a database. Processor computes agent action ranking score that is based on difference between task completion probability result of first caller utterance and task completion probability result of second caller utterance that precedes first caller utterance. Processor generates agent action result including the agent action ranking score. Other embodiments are disclosed herein.
-
公开(公告)号：US11039014B1
公开(公告)日：2021-06-15
申请号：US16440357
申请日：2019-06-13
摘要： A method starts with processor retrieving member's initial context data. Processor receives a string that is a transcribed utterance or an electronic message from the communication session established between member client device and agent client device. Processor determines potential relationships between the member and a patient that is the subject of the string by processing the string using Long Short-Term Memory (LSTM) neural networks to generate a plurality of relationship values. Relationship values are associated with relationship types. Processor generates weight values based on member's initial context data for each of the plurality of relationship types, and generates probability values for the relationship types based on the relationship values and the weight values. Processor narrows the potential relationships, generates relationship data that includes the narrowed potential relationships, and causes the relationship data to be displayed by the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US20240073320A1
公开(公告)日：2024-02-29
申请号：US18388042
申请日：2023-11-08
CPC分类号： H04M3/5233 , G06N3/049 , G10L15/26 , H04M3/4933 , H04M3/4936 , H04M3/5175 , H04M3/5191 , H04M3/5237 , H04M11/10
摘要： Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US20220407963A1
公开(公告)日：2022-12-22
申请号：US17895652
申请日：2022-08-25
摘要： Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US11445068B1
公开(公告)日：2022-09-13
申请号：US16798082
申请日：2020-02-21
摘要： Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US11849070B2
公开(公告)日：2023-12-19
申请号：US17895652
申请日：2022-08-25
CPC分类号： H04M3/5233 , G06N3/049 , G10L15/26 , H04M3/4933 , H04M3/4936 , H04M3/5175 , H04M3/5191 , H04M3/5237 , H04M11/10
摘要： Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
-
公开(公告)号：US20230233414A1
公开(公告)日：2023-07-27
申请号：US17586460
申请日：2022-01-27
CPC分类号： A61J7/0084 , G16H20/10 , G06V10/56 , G06V10/82 , G06V10/235 , A61J2205/20 , A61J2205/40
摘要： Method for generating user interface that indicates medication changes in medication starts with a processor detecting a medication change event. Processor retrieves medication information based on the medication change event including images of two medications. Processor generates color difference output using a color neural network, image of first medication and second medication. Color difference output comprises information on a difference in hue, saturation or color distribution. Processor generates medication appearance difference output using medication appearance neural network, image of first medication and second medication. Medication appearance difference output comprises information on a difference in shape, segmentation or form. Processor generates a differential record using the color difference output and medication appearance difference output. Processor causes medication change user interface to be displayed that comprises medication images and color and appearance descriptions of the medication which are displayed to emphasize differences identified in the differential record. Other embodiments are disclosed herein.
-
公开(公告)号：US11514385B2
公开(公告)日：2022-11-29
申请号：US17727954
申请日：2022-04-25
摘要： Method starts with processing, by a processor, audio signal to generate audio caller utterance. Processor generates an agent action ranking score associated with the audio caller utterance and determines whether the agent action ranking score is below a minimum threshold. In response to determining that the agent action ranking score is below the minimum threshold, processor generates a transcribed caller utterance using a speech-to-text processor and generates an identified task based on the transcribed caller utterance. Using the transcribed caller utterance and a task-specific agent coaching neural network associated with the identified task, processor generates an ideal response. Processor generates a feedback result and causes the feedback result to be displayed on a display device of the agent client device. Other embodiments are disclosed herein.
-
-
-
-
-
-
-
-
-
搜索结果
20 条记录 (耗时 0.018 秒)
