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公开(公告)号：US10049676B2
公开(公告)日：2018-08-14
申请号：US15648385
申请日：2017-07-12
Applicant: Interactions LLC
Inventor： Yoryos Yeracaris , Alwin B Carus , Larissa Lapshina
Abstract: An interactive response system mixes HSR subsystems with ASR subsystems to facilitate overall capability of user interfaces. The system permits imperfect ASR subsystems to nonetheless relieve burden on HSR subsystems. An ASR proxy is used to implement an IVR system, and the proxy dynamically selects one or more recognizers from a language model and a human agent to recognize user input. Selection of the one or more recognizers is based on factors such as confidence thresholds of the ASRs and availability of human resources for HSRs.
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公开(公告)号：US20160358107A1
公开(公告)日：2016-12-08
申请号：US15174539
申请日：2016-06-06
Applicant: ACCUSONUS, INC.
Inventor： Elias Kokkinis , Alexandros Tsilfidis
IPC: G06N99/00 , G10L21/028 , G10L19/008 , G10L25/39
CPC classification number: G06N20/00 , G10L21/028
Abstract: A system and method for constructing training dictionaries with multichannel information. An exemplary method takes into account the effect of the acoustic path while training multichannel acoustic data. A method that uses different time-frequency resolutions in machine learning training is also presented.
Abstract translation: 一种构建具有多渠道信息的训练词典的系统和方法。 一种示例性的方法在训练多声道声学数据的同时考虑声学路径的影响。 还提出了一种在机器学习训练中使用不同时频分辨率的方法。
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公开(公告)号：US10418028B2
公开(公告)日：2019-09-17
申请号：US15813322
申请日：2017-11-15
Applicant: Intel Corporation
Inventor： Oren Shamir , Oren Pereg , Moshe Wasserblat , Jonathan Mamou , Michel Assayag
Abstract: Technologies for detecting an end of a sentence in automatic speech recognition are disclosed. An automatic speech recognition device may acquire speech data, and identify phonemes and words of the speech data. The automatic speech recognition device may perform a syntactic parse based on the recognized words, and determine an end of a sentence based on the syntactic parse. For example, if the syntactic parse indicates that a certain set of consecutive recognized words form a syntactically complete and correct sentence, the automatic speech recognition device may determine that there is an end of a sentence at the end of that set of words.
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公开(公告)号：US20180075841A1
公开(公告)日：2018-03-15
申请号：US15813322
申请日：2017-11-15
Applicant: Intel Corporation
Inventor： Oren Shamir , Oren Pereg , Moshe Wasserblat , Jonathan Mamou , Michel Assayag
IPC: G10L15/04 , G10L15/18 , G10L25/39 , G10L25/87 , G10L15/187
CPC classification number: G10L15/04 , G10L15/18 , G10L15/1822 , G10L15/187 , G10L25/39 , G10L25/87 , G10L2015/025
Abstract: Technologies for detecting an end of a sentence in automatic speech recognition are disclosed. An automatic speech recognition device may acquire speech data, and identify phonemes and words of the speech data. The automatic speech recognition device may perform a syntactic parse based on the recognized words, and determine an end of a sentence based on the syntactic parse. For example, if the syntactic parse indicates that a certain set of consecutive recognized words form a syntactically complete and correct sentence, the automatic speech recognition device may determine that there is an end of a sentence at the end of that set of words.
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公开(公告)号：US09837069B2
公开(公告)日：2017-12-05
申请号：US14979142
申请日：2015-12-22
Applicant: Intel Corporation
Inventor： Oren Shamir , Oren Pereg , Moshe Wasserblat , Jonathan Mamou , Michel Assayag
IPC: G10L15/04 , G10L15/187 , G10L15/18 , G10L25/87 , G10L25/39
CPC classification number: G10L15/04 , G10L15/18 , G10L15/1822 , G10L15/187 , G10L25/39 , G10L25/87 , G10L2015/025
Abstract: Technologies for detecting an end of a sentence in automatic speech recognition are disclosed. An automatic speech recognition device may acquire speech data, and identify phonemes and words of the speech data. The automatic speech recognition device may perform a syntactic parse based on the recognized words, and determine an end of a sentence based on the syntactic parse. For example, if the syntactic parse indicates that a certain set of consecutive recognized words form a syntactically complete and correct sentence, the automatic speech recognition device may determine that there is an end of a sentence at the end of that set of words.
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Patent Agency Ranking
公开(公告)号：US20170193987A1
公开(公告)日：2017-07-06
申请号：US15240119
申请日：2016-08-18
Inventor： Yujun Wang , Rui Hou
CPC classification number: G10L15/10 , G10L15/063 , G10L15/142 , G10L15/183 , G10L25/39 , G10L2015/0631
Abstract: This patent disclosure relates to a voice technology and discloses a voice recognition method and electronic device. In some embodiments of this disclosure, soft clustering calculation is performed in advance according to N gausses obtained by model training, to obtain M soft clustering gausses; when voice recognition is performed, voice is converted to obtain an eigenvector, and top L soft clustering gausses with highest scores are calculated according to the eigenvector, wherein the L is less than the M; and member gausses among the L soft clustering gausses are used as gausses that need to participate in calculation in an acoustic model in a voice recognition process to calculate likelihood of the acoustic model.
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7.发明申请公开(公告)号：US20160307566A1
公开(公告)日：2016-10-20
申请号：US14838323
申请日：2015-08-27
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA
CPC classification number: G06F17/2785 , G06F17/2705 , G10L15/183
Abstract: Systems and processes for natural language processing are provided. In accordance with one example, a method includes, at a first electronic device with one or more processors and memory, receiving a plurality of words, mapping each of the plurality of words to a word representation, and associating the mapped words to provide a plurality of phrases. In some examples, each of the plurality of phrases has a representation of a first type. The method further includes encoding each of the plurality of phrases to provide a respective plurality of encoded phrases. In some examples, each of the plurality of encoded phrases has a representation of a second type different than the first type. The method further includes determining a value of each of the plurality of encoded phrases and identifying one or more phrases of the plurality of encoded phrases having a value exceeding a threshold.
Abstract translation: 提供了自然语言处理的系统和过程。 根据一个示例，一种方法包括在具有一个或多个处理器和存储器的第一电子设备处接收多个单词，将多个单词中的每一个映射到单词表示，以及将映射单词相关联以提供多个单词 的短语。 在一些示例中，多个短语中的每一个具有第一类型的表示。 该方法还包括编码多个短语中的每一个以提供相应的多个编码短语。 在一些示例中，多个编码短语中的每一个具有不同于第一类型的第二类型的表示。 该方法还包括确定多个编码短语中的每一个的值，并且识别出具有超过阈值的值的多个编码短语中的一个或多个短语。
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公开(公告)号：US12190907B2
公开(公告)日：2025-01-07
申请号：US17894061
申请日：2022-08-23
Applicant: Korea Electronics Technology Institute
Inventor： Jin Yea Jang , Sa Im Shin , Min Young Jung , San Kim
Abstract: There are provided a method and a system for automatically generating a back-channel in an interactive agent system. According to an embodiment of the disclosure, an automatic back-channel generation method includes: predicting a back-channel by analyzing an utterance of a user inputted in a back-channel prediction model; and generating the predicted back-channel, and the back-channel prediction model is an AI model that is trained to predict a back-channel to express from the utterance of the user. Accordingly, a back-channel is automatically generated by utilizing a back-channel prediction module which is based on a language model, so that a natural dialogue interaction with a user may be implemented in an interactive agent system, and quality of a dialogue service provided to a user may be enhanced.
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公开(公告)号：US20230069655A1
公开(公告)日：2023-03-02
申请号：US17894061
申请日：2022-08-23
Applicant: Korea Electronics Technology Institute
Inventor： Jin Yea JANG , Sa Im SHIN , Min Young JUNG , San KIM
Abstract: There are provided a method and a system for automatically generating a back-channel in an interactive agent system. According to an embodiment of the disclosure, an automatic back-channel generation method includes: predicting a back-channel by analyzing an utterance of a user inputted in a back-channel prediction model; and generating the predicted back-channel, and the back-channel prediction model is an AI model that is trained to predict a back-channel to express from the utterance of the user. Accordingly, a back-channel is automatically generated by utilizing a back-channel prediction module which is based on a language model, so that a natural dialogue interaction with a user may be implemented in an interactive agent system, and quality of a dialogue service provided to a user may be enhanced.
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公开(公告)号：US20170178623A1
公开(公告)日：2017-06-22
申请号：US14979142
申请日：2015-12-22
Applicant: Oren Shamir , Oren Pereg , Moshe Wasserblat , Jonathan Mamou , Michel Assayag
Inventor： Oren Shamir , Oren Pereg , Moshe Wasserblat , Jonathan Mamou , Michel Assayag
IPC: G10L15/04 , G10L25/39 , G10L25/87 , G10L15/187 , G10L15/18
CPC classification number: G10L15/04 , G10L15/18 , G10L15/1822 , G10L15/187 , G10L25/39 , G10L25/87 , G10L2015/025
Abstract: Technologies for detecting an end of a sentence in automatic speech recognition are disclosed. An automatic speech recognition device may acquire speech data, and identify phonemes and words of the speech data. The automatic speech recognition device may perform a syntactic parse based on the recognized words, and determine an end of a sentence based on the syntactic parse. For example, if the syntactic parse indicates that a certain set of consecutive recognized words form a syntactically complete and correct sentence, the automatic speech recognition device may determine that there is an end of a sentence at the end of that set of words.
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