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公开(公告)号：US20230252344A1
公开(公告)日：2023-08-10
申请号：US17822553
申请日：2022-08-26
发明人： Nao MISHIMA , Quoc Viet PHAM , Yusuke HOSOYA , Hiroshi FUJIMURA
摘要： According to one embodiment, a machine learning apparatus includes a processing circuit. The processing circuit generates a training sample in a VQA format regarding a VQA task based on a sample in a non-VQA format. The training sample in the VQA format includes a combination of an object, a question text regarding the object and an answer text in response to the question text as elements, and the sample in the non-VQA format includes a combination of an object and a label related to the object as elements. The processing circuit trains a statistical model of the VQA task based on the generated training sample in the VQA format.
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2.发明申请公开(公告)号：US20200027453A1
公开(公告)日：2020-01-23
申请号：US16287845
申请日：2019-02-27
摘要： According to one embodiment, an information processing apparatus includes one or more processors configured to detect a trigger from a voice signal, the trigger indicating start of voice recognition; and to perform voice recognition of a recognition sound section subsequent to a trigger sound section including the detected trigger, referring to a trigger and voice recognition dictionary corresponding to the trigger.
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3.发明申请RECOGNITION RESULT OUTPUT DEVICE, RECOGNITION RESULT OUTPUT METHOD, AND COMPUTER PROGRAM PRODUCT 审中-公开识别结果输出设备，识别结果输出方法和计算机程序产品公开(公告)号：US20160379624A1
公开(公告)日：2016-12-29
申请号：US15182987
申请日：2016-06-15
发明人： Hiroshi FUJIMURA
IPC分类号： G10L15/02 , G10L21/10 , G10L15/26 , G10L15/197
摘要： According to an embodiment, a speech recognition result output device includes a storage and processing circuitry. The storage is configured to store a language model, for speech recognition. The processing circuitry is coupled to the storage and configured to acquire a phonetic sequence, convert the phonetic sequence into a phonetic sequence feature vector, convert the phonetic sequence feature vector into graphemes using the language model, and output the graphemes.
摘要翻译： 根据实施例，语音识别结果输出设备包括存储和处理电路。 存储器被配置为存储用于语音识别的语言模型。 处理电路耦合到存储器并被配置为获取语音序列，将语音序列转换成语音序列特征向量，使用该语言模型将语音序列特征向量转换为图形，并输出该图形。
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4.发明申请ARITHMETIC OPERATION APPARATUS, ARITHMETIC OPERATION METHOD, AND COMPUTER PROGRAM PRODUCT 审中-公开算术运算装置，算术运算方法和计算机程序产品公开(公告)号：US20160275394A1
公开(公告)日：2016-09-22
申请号：US15070898
申请日：2016-03-15
发明人： Hiroshi FUJIMURA , Takashi MASUKO
摘要： According to an embodiment, an arithmetic operation apparatus for a neural network includes an input layer calculator, a correction unit calculator, a hidden layer calculator, and an output layer calculator. The input layer calculator is configured to convert an input pattern into features as outputs of an input layer. The correction unit calculator is configured to perform calculation on N unit groups corresponding respectively to N classes of the input pattern and including correction units that each multiply a value based on inputs by a weight determined for the corresponding class. The hidden layer calculator is configured to perform calculation in a hidden layer based on the outputs of the input layer, another hidden layer, or the correction unit calculator. The output layer calculator is configured to perform calculation in an output layer based on the calculation for the hidden layer or the outputs of the correction unit calculator.
摘要翻译： 根据实施例，用于神经网络的算术运算装置包括输入层计算器，校正单元计算器，隐藏层计算器和输出层计算器。 输入层计算器被配置为将输入图案转换为特征作为输入层的输出。 校正单元计算器被配置为对分别对应于输入图案的N个类别的N个单位组执行计算，并且包括校正单元，每个校正单元每个乘以基于输入的值，以对于相应类别确定的权重。 隐层计算器被配置为基于输入层，另一隐藏层或校正单元计算器的输出在隐层中执行计算。 输出层计算器被配置为基于校正单元计算器的隐层或输出的计算在输出层中进行计算。
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5.发明申请INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT 审中-公开信息处理设备，信息处理方法和计算机程序产品公开(公告)号：US20150186347A1
公开(公告)日：2015-07-02
申请号：US14644896
申请日：2015-03-11
发明人： Toru TANIGUCHI , Masaru SAKAI , Masahide ARIU , Hiroshi FUJIMURA
IPC分类号： G06F17/24 , G06F3/0488
CPC分类号： G06F17/24 , G06F3/0488 , G06F16/3322
摘要： According to an embodiment, an information processing device includes an obtainer, a display controller, a detector, a plurality of correctors, and a selector. The obtainer obtains a keyword. The display controller performs control to display the keyword on a display. The detector detects a gesture operation performed on the display. The plurality of correctors are capable of correcting a correction target keyword to be corrected among one or more keywords displayed on the display and implement mutually different correction methods one of which includes correction in form of deleting the correction target keyword. The selector selects, according to a gesture operation detected by the detector, one of the plurality of correctors as the corrector for correcting the correction target keyword.
摘要翻译： 根据实施例，信息处理设备包括获取器，显示控制器，检测器，多个校正器和选择器。 获取者获取关键字。 显示控制器执行控制以在显示器上显示该关键字。 检测器检测在显示器上执行的手势操作。 多个校正器能够校正在显示器上显示的一个或多个关键词之间要校正的校正目标关键字，并且实现相互不同的校正方法，其中之一包括以删除校正目标关键字的形式的校正。 选择器根据由检测器检测到的手势操作，选择多个校正器之一作为用于校正校正目标关键字的校正器。
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公开(公告)号：US20220138420A1
公开(公告)日：2022-05-05
申请号：US17463197
申请日：2021-08-31
IPC分类号： G06F40/268 , G06F40/30 , G06F40/232 , G10L15/22 , G10L15/06
摘要： According to one embodiment, a difference extraction device includes processing circuitry. The processing circuitry acquires a text in which an input notation string is described. The processing circuitry converts the input notation string into a pronunciation string. The processing circuitry executes a pronunciation string conversion process in which the pronunciation string is converted into an output notation string. The processing circuitry extracts a difference by comparing the input notation string and the output notation string with each other.
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公开(公告)号：US20210256972A1
公开(公告)日：2021-08-19
申请号：US17007567
申请日：2020-08-31
发明人： Kenji IWATA , Hiroshi FUJIMURA , Takami YOSHIDA
摘要： According to one embodiment, the interface-providing apparatus comprises an identifying unit and a generating unit. The identifying unit identifies a keyword from dialogue data including a question text to request information, and a response text in reply thereto. The generating unit generates display information to display a user interface for receiving feedback input relating to a degree of usefulness of a keyword when searching for the requested information.
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公开(公告)号：US20210174799A1
公开(公告)日：2021-06-10
申请号：US17007413
申请日：2020-08-31
摘要： According to one embodiment, an information processing apparatus includes an acquisition unit, a conversion unit, and a display controller. The acquisition unit acquires multimedia data associated with an item of record data having a plurality of items. The conversion unit performs a conversion process from the multimedia data to first display data showing a content of the multimedia data. The display controller displays the first display data when the conversion process is completed, and displays second display data showing a progress status of the conversion process when the conversion process is incomplete in association with the item of the record data.
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公开(公告)号：US20210056961A1
公开(公告)日：2021-02-25
申请号：US16804346
申请日：2020-02-28
发明人： Ning DING , Hiroshi FUJIMURA
摘要： According to one embodiment, an information processing apparatus include following units. The first acquisition unit acquires speech data including frames. The second acquisition unit acquires a model trained to, upon input of a feature amount extracted from the speech data, output information indicative of likelihood of each of a plurality of classes including a component of a keyword and a component of background noise. The first calculation unit calculates a keyword score indicative of occurrence probability of the component of the keyword. The second calculation unit calculates a background noise score indicative of occurrence probability of the component of the background noise. The determination unit determines whether or not the speech data includes the keyword.
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公开(公告)号：US20180268809A1
公开(公告)日：2018-09-20
申请号：US15691159
申请日：2017-08-30
发明人： Hiroshi FUJIMURA
摘要： According to one embodiment, a voice keyword detection apparatus includes a memory and a circuit coupled with the memory. The circuit calculates a first score for a first sub-keyword and a second score for a second sub-keyword. The circuit detects the first and second sub-keywords based on the first and second scores. The circuit determines, when the first sub-keyword is detected from one or more first frames, to accept the first sub-keyword. The circuit determines, when the second sub-keyword is detected from one or more second frames, whether to accept the second sub-keyword based on a start time and/or an end time of the one or more first frames and a start time and/or an end time of the one or more second frames.
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