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公开(公告)号：US12183323B2
公开(公告)日：2024-12-31
申请号：US17644749
申请日：2021-12-16
Inventor： Xiaoyin Fu , Mingxin Liang , Zhijie Chen , Qiguang Zang , Zhengxiang Jiang , Liao Zhang , Qi Zhang , Lei Jia
IPC: G10L15/02 , G10L15/16 , G10L19/032
Abstract: The present disclosure provides a method of recognizing speech offline, electronic device, and a storage medium, relating to a field of artificial intelligence such as speech recognition, natural language processing, and deep learning. The method may include: decoding speech data to be recognized into a syllable recognition result; transforming the syllable recognition result into a corresponding text as a speech recognition result of the speech data.
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Patent Agency Ranking
公开(公告)号：US12067977B2
公开(公告)日：2024-08-20
申请号：US17684681
申请日：2022-03-02
Inventor： Liao Zhang , Yinlou Zhao , Zhengxiang Jiang , Xiaoyin Fu , Wei Wei
IPC: G10L15/183 , G06N5/048
CPC classification number: G10L15/183 , G06N5/048
Abstract: The present disclosure discloses a speech recognition method and apparatus, and relates to the field of speech and deep learning technologies. A specific implementation scheme involves: acquiring candidate recognition results with first N recognition scores outputted by a speech recognition model for to-be-recognized speech, N being a positive integer greater than 1; scoring the N candidate recognition results based on pronunciation similarities between candidate recognition results and pre-collected popular entities, to obtain similarity scores of the candidate recognition results; and integrating the recognition scores and the similarity scores of the candidate recognition results to determine a recognition result corresponding to the to-be-recognized speech from the N candidate recognition results. The present disclosure can improve recognition accuracy.
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公开(公告)号：US11900918B2
公开(公告)日：2024-02-13
申请号：US17451380
申请日：2021-10-19
Inventor： Liao Zhang , Zhengxiang Jiang , Xiaoyin Fu
IPC: G10L15/06 , G06F40/253 , G06F40/30
CPC classification number: G10L15/063 , G06F40/253 , G06F40/30
Abstract: The present disclosure provides a method for training a linguistic model, related to fields of speech, natural language processing, deep learning technologies. A method includes: obtaining grammars corresponding to a plurality of sample texts and a slot value of a slot in each grammar by using semantic analysis; generating a grammar graph corresponding to each grammar based on the corresponding grammar and the slot value of the slot in the corresponding grammar; obtaining a weight of each grammar, a weight of each slot, and a weight of each slot value in each grammar graph based on the sample texts; determining at least one grammar frequency of each order based on the weight of each grammar, the weight of each slot, and the weight of each slot value in each grammar graph; and training the linguistic model based on the at least one grammar frequency of each order.
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公开(公告)号：US20220036880A1
公开(公告)日：2022-02-03
申请号：US17451380
申请日：2021-10-19
Inventor： Liao Zhang , Zhengxiang Jiang , Xiaoyin Fu
IPC: G10L15/06 , G06F40/30 , G06F40/253
Abstract: The present disclosure provides a method for training a linguistic model, related to fields of speech, natural language processing, deep learning technologies. A method includes: obtaining grammars corresponding to a plurality of sample texts and a slot value of a slot in each grammar by using semantic analysis; generating a grammar graph corresponding to each grammar based on the corresponding grammar and the slot value of the slot in the corresponding grammar; obtaining a weight of each grammar, a weight of each slot, and a weight of each slot value in each grammar graph based on the sample texts; determining at least one grammar frequency of each order based on the weight of each grammar, the weight of each slot, and the weight of each slot value in each grammar graph; and training the linguistic model based on the at least one grammar frequency of each order.
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公开(公告)号：US12033615B2
公开(公告)日：2024-07-09
申请号：US17499129
申请日：2021-10-12
Inventor： Yinlou Zhao , Liao Zhang , Zhengxiang Jiang
CPC classification number: G10L15/005 , G10L15/142 , G10L15/16 , G10L15/26
Abstract: The disclosure provides a method and an apparatus for recognizing a speech, an electronic device and a storage medium. A speech to be recognized is obtained. An acoustic feature of the speech to be recognized and a language feature of the speech to be recognized are obtained. The speech to be recognized is input to a pronunciation difference statistics to generate a differential pronunciation pair corresponding to the speech to be recognized. The text information of the speech to be recognized is generated based on the differential pronunciation pair, the acoustic feature and the language feature.
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公开(公告)号：US20220028370A1
公开(公告)日：2022-01-27
申请号：US17499129
申请日：2021-10-12
Inventor： Yinlou Zhao , Liao Zhang , Zhengxiang Jiang
Abstract: The disclosure provides a method and an apparatus for recognizing a speech, an electronic device and a storage medium. A speech to be recognized is obtained. An acoustic feature of the speech to be recognized and a language feature of the speech to be recognized are obtained. The speech to be recognized is input to a pronunciation difference statistics to generate a differential pronunciation pair corresponding to the speech to be recognized. The text information of the speech to be recognized is generated based on the differential pronunciation pair, the acoustic feature and the language feature.
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