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1. 发明授权

US10169290B2 Data processing method and apparatus 有权
公开(公告)号：US10169290B2
公开(公告)日：2019-01-01
申请号：US15013698
申请日：2016-02-02
申请人： Huawei Technologies Co., Ltd.
发明人： Yijun Liu , Guangjian Tian , Yong Cao
IPC分类号： G06F17/50 , G06F17/10 , G06Q10/04
摘要： The present invention provides a data processing method, including: acquiring historical data, where the historical data belongs to a first level and a second level, and data corresponding to the first level comprises data corresponding to the second level; generating, from the historical data, a first-granularity data set according to a first granularity, and generating, from the historical data, a second-granularity data set according to a second granularity, where the first granularity and the second granularity respectively correspond to the first level and the second level; performing modeling for a second-granularity forecasting model according to the first-granularity data set and the second-granularity data set; and performing forecasting by using the second-granularity forecasting model to obtain second-granularity forecast data. The present invention enables obtained forecast data of different granularities to be consistent.

2. 发明授权

US09813549B2 Voice service evaluation processing method and apparatus 有权
公开(公告)号：US09813549B2
公开(公告)日：2017-11-07
申请号：US14971103
申请日：2015-12-16
申请人： Huawei Technologies Co., Ltd.
发明人： Yijun Liu , Lujia Pan , Guangjian Tian
IPC分类号： H04M15/00 , H04M3/22 , G06F17/30 , G06Q10/06
CPC分类号： H04M3/2227 , G06F17/30 , G06Q10/06
摘要： A voice service evaluation processing method and apparatus may include acquiring record data related to a to-be-evaluated voice service; using a voice service evaluation model that is acquired according to record data related to a voice service to evaluate the record data related to the to-be-evaluated voice service, so as to acquire an evaluation value of the record data related to the to-be-evaluated voice service; and performing, according to the evaluation value, evaluation processing on a voice service corresponding to the record data related to the to-be-evaluated voice service. The embodiments of the present disclosure provide a more reliable basis for improvement and optimization of a voice service. In addition, an actual status of a network may further be reflected according to evaluation performed on record data related to the voice service, and adjustment on a network indicator may further be performed according to the reflected network status.

3. 发明申请

US20210027769A1 VOICE ALIGNMENT METHOD AND APPARATUS 有权
公开(公告)号：US20210027769A1
公开(公告)日：2021-01-28
申请号：US17068131
申请日：2020-10-12
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Zhen Qin , Qiang Ye , Guangjian Tian
IPC分类号： G10L15/10 , G10L25/60 , G10L25/06
摘要： Example methods and apparatus for providing voice alignment are described. One example method including: obtaining an original voice and a test voice, the test voice is a voice generated after the original voice is transmitted over a communications network; performing loss detection and/or discontinuity detection on the test voice, the loss detection is used to determine whether the test voice has a voice loss compared with the original voice, and the discontinuity detection is used to determine whether the test voice has voice discontinuity compared with the original voice; and aligning the test voice with the original voice based on a result of the loss detection and/or the discontinuity detection, to obtain an aligned original voice and an aligned test voice, the result of the loss detection and/or the discontinuity detection is used to indicate a manner of aligning the test voice with the original voice.

4. 发明申请

US20160105544A1 Voice Service Evaluation Processing Method and Apparatus 有权
标题翻译：语音服务评估处理方法与装置
公开(公告)号：US20160105544A1
公开(公告)日：2016-04-14
申请号：US14971103
申请日：2015-12-16
申请人： Huawei Technologies Co., Ltd.
发明人： Yijun Liu , Lujia Pan , Guangjian Tian
IPC分类号： H04M3/22
CPC分类号： H04M3/2227 , G06F17/30 , G06Q10/06
摘要： A voice service evaluation processing method and apparatus may include acquiring record data related to a to-be-evaluated voice service; using a voice service evaluation model that is acquired according to record data related to a voice service to evaluate the record data related to the to-be-evaluated voice service, so as to acquire an evaluation value of the record data related to the to-be-evaluated voice service; and performing, according to the evaluation value, evaluation processing on a voice service corresponding to the record data related to the to-be-evaluated voice service. The embodiments of the present disclosure provide a more reliable basis for improvement and optimization of a voice service. In addition, an actual status of a network may further be reflected according to evaluation performed on record data related to the voice service, and adjustment on a network indicator may further be performed according to the reflected network status.
摘要翻译：语音服务评估处理方法和装置可以包括获取与待评估语音服务有关的记录数据; 使用根据与语音服务相关的记录数据获取的语音服务评估模型来评估与待评估语音服务相关的记录数据，以便获取与所述待评估语音服务有关的记录数据的评估值，评估语音服务; 以及根据所述评估值，对与所述被评估语音服务相关的记录数据相对应的语音服务进行评估处理。本公开的实施例为语音服务的改进和优化提供了更可靠的基础。此外，根据与语音服务有关的记录数据执行的评估，还可以反映网络的实际状态，并且可以根据所反映的网络状态进一步执行对网络指示符的调整。

5. 发明授权

US10296827B2 Data category identification method and apparatus based on deep neural network 有权
公开(公告)号：US10296827B2
公开(公告)日：2019-05-21
申请号：US14944294
申请日：2015-11-18
申请人： Huawei Technologies Co., Ltd.
发明人： Guangjian Tian , Cheng He , Wei Fan
IPC分类号： G06N3/08 , G06N3/06
摘要： A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.

6. 发明申请

US20160071010A1 Data Category Identification Method and Apparatus Based on Deep Neural Network 审中-公开
标题翻译：基于深层神经网络的数据类别识别方法与装置
公开(公告)号：US20160071010A1
公开(公告)日：2016-03-10
申请号：US14944294
申请日：2015-11-18
申请人： Huawei Technologies Co., Ltd.
发明人： Guangjian Tian , Cheng He , Wei Fan
IPC分类号： G06N3/08 , G06N3/06
CPC分类号： G06N3/08 , G06N3/06
摘要： A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.
摘要翻译：本地建立了一种加入了数据类别信息的深层神经网络，将被识别的数据输入到基于上述数据类别信息生成的深层神经网络的输入层，以及类别信息获取属性的被识别数据，其中类别的信息由深层神经网络的输出层输出。基于数据类别信息建立深层神经网络，使用深层神经网络方便迅速地获得待识别数据的类别信息，从而实现深层神经网络的类别识别功能，促进发现根据待识别数据的类别信息的待识别数据的基本定律。

7. 发明授权

US11631397B2 Voice alignment method and apparatus 有权
公开(公告)号：US11631397B2
公开(公告)日：2023-04-18
申请号：US17068131
申请日：2020-10-12
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Zhen Qin , Qiang Ye , Guangjian Tian
IPC分类号： G10L15/10 , G10L25/06 , G10L25/60
摘要： Example methods and apparatus for providing voice alignment are described. One example method including: obtaining an original voice and a test voice, the test voice is a voice generated after the original voice is transmitted over a communications network; performing loss detection and/or discontinuity detection on the test voice, the loss detection is used to determine whether the test voice has a voice loss compared with the original voice, and the discontinuity detection is used to determine whether the test voice has voice discontinuity compared with the original voice; and aligning the test voice with the original voice based on a result of the loss detection and/or the discontinuity detection, to obtain an aligned original voice and an aligned test voice, the result of the loss detection and/or the discontinuity detection is used to indicate a manner of aligning the test voice with the original voice.

8. 发明申请

US20220286263A1 SIGNALING ANALYSIS METHOD AND RELATED APPARATUS 有权
公开(公告)号：US20220286263A1
公开(公告)日：2022-09-08
申请号：US17752848
申请日：2022-05-24
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Zhen Qin , Siwei Rao , Qiang Ye , Jia Lv , Guangjian Tian
IPC分类号： H04L5/00 , H04L69/08
摘要： Signaling analysis methods and apparatus are provided to obtain a to-be-detected signaling flow that includes N pieces of signaling. First feature construction is performed on a message type and an information element that are included in each of the N pieces of signaling to obtain a first feature sequence. The first feature sequence includes N first feature vectors which are in a one-to-one correspondence with the N pieces of signaling. The first feature sequence is input to a first signaling anomaly detection model to perform anomaly detection processing. A first anomaly detection result is produced indicating that the to-be-detected signaling flow is normal or abnormal. In this way, an anomaly caused due to an information element error can be covered. The method and the apparatus can be multiplexed between different protocols.

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