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    • 3. 发明授权
    • Method and apparatus for detecting unsolicited multimedia communications
    • 用于检测未经请求的多媒体通信的方法和装置
    • US08457960B2
    • 2013-06-04
    • US13400274
    • 2012-02-20
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • H04L12/585
    • H04L43/08G10L15/26G10L17/00H04L51/12H04L65/1079
    • A service for searching for unsolicited communications is provided. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these communications to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the voice. The voice sample may also be used to determine the type of voice—i.e., if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.
    • 提供用于搜索非请求通信的服务。 例如,该服务可以检查电子邮件消息,即时消息消息,传真传输,语音通信和视频电话,并且分析这些通信以确定预期通信是否是未经请求。 关于语音和视频电话,可以从呼叫者获得语音样本,并且可以对样本执行语音识别以确定人的身份或语音。 语音样本也可以用于确定语音的类型,即,如果声音是实时的,机器生成的或预先记录的。 在呼叫是视频电话呼叫的情况下,可以使用图像识别来检查该人的图像。 从语音识别,语音类型识别和图像识别获得的信息可以用于检测来自已知来源的主动通信的消息。
    • 4. 发明授权
    • Method and apparatus for detecting unsolicited multimedia communications
    • 用于检测未经请求的多媒体通信的方法和装置
    • US08121839B2
    • 2012-02-21
    • US11305951
    • 2005-12-19
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • G06F17/27G10L15/00G10L11/00
    • H04L43/08G10L15/26G10L17/00H04L51/12H04L65/1079
    • A service is configured to analyze multimedia communications to determine a likelihood that the communication is unsolicited. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these forms of communication to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the identity of the voice. The voice sample may also be used to determine the type of voice—i.e. if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.
    • 服务被配置为分析多媒体通信以确定通信被主动请求的可能性。 例如,服务可以检查电子邮件消息,即时消息消息,传真传输,语音通信和视频电话,并分析这些通信形式,以确定是否主动通信。 关于语音和视频电话,可以从呼叫者获得语音样本,并且可以对样本执行语音识别以确定人的身份或语音的身份。 语音样本也可以用于确定语音的类型 - 即, 如果声音是活的,机器生成的或预先记录的。 在呼叫是视频电话呼叫的情况下,可以使用图像识别来检查该人的图像。 从语音识别,语音类型识别和图像识别获得的信息可以用于检测来自已知来源的主动通信的消息。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR DETECTING UNSOLICITED MULTIMEDIA COMMUNICATIONS
    • 检测不合理多媒体通信的方法和装置
    • US20120150540A1
    • 2012-06-14
    • US13400274
    • 2012-02-20
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • G10L17/00G10L15/00
    • H04L43/08G10L15/26G10L17/00H04L51/12H04L65/1079
    • A service for searching for unsolicited communications is provided. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these communications to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the voice. The voice sample may also be used to determine the type of voice—i.e., if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.
    • 提供用于搜索非请求通信的服务。 例如,该服务可以检查电子邮件消息,即时消息消息,传真传输,语音通信和视频电话,并且分析这些通信以确定预期通信是否是未经请求。 关于语音和视频电话,可以从呼叫者获得语音样本,并且可以对样本执行语音识别以确定人的身份或语音。 语音样本也可以用于确定语音的类型,即,如果声音是实时的,机器生成的或预先记录的。 在呼叫是视频电话呼叫的情况下,可以使用图像识别来检查该人的图像。 从语音识别,语音类型识别和图像识别获得的信息可以用于检测来自已知来源的主动通信的消息。
    • 10. 发明申请
    • Method and apparatus for detecting unsolicited multimedia communications
    • 用于检测未经请求的多媒体通信的方法和装置
    • US20070150276A1
    • 2007-06-28
    • US11305951
    • 2005-12-19
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • Samir SrivastavaFrancois AudetVibhu Vivek
    • G10L17/00
    • H04L43/08G10L15/26G10L17/00H04L51/12H04L65/1079
    • A service is configured to analyze multimedia communications to determine a likelihood that the communication is unsolicited. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these forms of communication to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the identity of the voice. The voice sample may also be used to determine the type of voice—i.e. if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.
    • 服务被配置为分析多媒体通信以确定通信被主动请求的可能性。 例如,服务可以检查电子邮件消息,即时消息消息,传真传输,语音通信和视频电话,并分析这些通信形式,以确定是否主动通信。 关于语音和视频电话,可以从呼叫者获得语音样本,并且可以对样本执行语音识别以确定人的身份或语音的身份。 语音样本也可以用于确定语音的类型 - 即, 如果声音是活的,机器生成的或预先记录的。 在呼叫是视频电话呼叫的情况下,可以使用图像识别来检查该人的图像。 从语音识别,语音类型识别和图像识别获得的信息可以用于检测来自已知来源的主动通信的消息。