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公开(公告)号：US11769482B2
公开(公告)日：2023-09-26
申请号：US17489616
申请日：2021-09-29
Inventor： Wenfu Wang , Tao Sun , Xilei Wang , Junteng Zhang , Zhengkun Gao , Lei Jia
Abstract: The present disclosure provides a method and apparatus of synthesizing a speech, a method and apparatus of training a speech synthesis model, an electronic device, and a storage medium. The method of synthesizing a speech includes acquiring a style information of a speech to be synthesized, a tone information of the speech to be synthesized, and a content information of a text to be processed; generating an acoustic feature information of the text to be processed, by using a pre-trained speech synthesis model, based on the style information, the tone information, and the content information of the text to be processed; and synthesizing the speech for the text to be processed, based on the acoustic feature information of the text to be processed.
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公开(公告)号：US20220147441A1
公开(公告)日：2022-05-12
申请号：US17454900
申请日：2021-11-15
Abstract: The disclosure provides a method and an apparatus for allocating memory, and an electronic device. Multiple frames of speech data are received and input to a neural network model. The neural network model is configured to ask for multiple data tensors when processing the multiple frames of speech data, and the multiple data tensors share a common memory.
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Patent Agency Ranking
公开(公告)号：US12211485B2
公开(公告)日：2025-01-28
申请号：US17820339
申请日：2022-08-17
Inventor： Zhengkun Gao , Junteng Zhang , Tao Sun , Lei Jia
IPC: G10L13/00 , G10L13/047 , G10L13/08
Abstract: The disclosure provides a speech synthesis method, and an electronic device. The technical solution is described as follows. A text to be synthesized and speech features of a target user are obtained. Predicted first acoustic features based on the text to be synthesized and the speech features are obtained. A target template audio is obtained from a template audio library based on the text to be synthesized. Second acoustic features of the target template audio are extracted. Target acoustic features are generated by splicing the first acoustic features and the second acoustic features. Speech synthesis is performed on the text to be synthesized based on the target acoustic features and the speech features, to generate a target speech of the text to be synthesized.
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公开(公告)号：US20230015112A1
公开(公告)日：2023-01-19
申请号：US17933152
申请日：2022-09-19
Inventor： Jiankang Hou , Tao Sun , Zhipeng Nie , Liqiang Zhang , Lei Jia , Haifeng Wang
IPC: G10L21/10 , G10L13/02 , G10L21/0208 , G10L25/51
Abstract: A method for processing a speech includes: acquiring an original speech; extracting a spectrogram from the original speech; acquiring a speech synthesis model, where the speech synthesis model comprises a first generation sub-model and a second generation sub-model; generating a harmonic structure of the spectrogram, by invoking the first generation sub-model to process the spectrogram; and generating a target speech, by invoking the second generation sub-model to process the harmonic structure and the spectrogram.
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公开(公告)号：US20220207427A1
公开(公告)日：2022-06-30
申请号：US17655253
申请日：2022-03-17
Inventor： Yangkai Xu , Guibin Wang , Xiaoyin Fu , Zhijie Chen , Mingshun Yang , Shijun Cong , Ming Jia , Lei Jia
IPC: G06N20/00
Abstract: A method for training a data processing model includes: acquiring sample data; acquiring an initial data processing model, the initial data processing model including a plurality of forward nodes for outputting a plurality of intermediate results corresponding to the sample data; determining a plurality of time-dependent features corresponding to the plurality of forward nodes; acquiring a data processing model to be trained by processing the initial data processing model based on the plurality of time-dependent features; and training the data processing model to be trained using the sample data and the plurality of intermediate results.
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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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公开(公告)号：US11640319B1
公开(公告)日：2023-05-02
申请号：US17945166
申请日：2022-09-15
IPC: G06F9/48 , G06F12/0802 , G06F9/50
Abstract: A task processing method, an electronic device and a storage medium, which relate to the field of artificial intelligence, such as intelligent voices, artificial intelligence chips, or the like, are disclosed. The method may include: for to-be-executed tasks, in at least one round of processing, performing the following operations: in response to determining that one or more high-priority tasks exist in the to-be-executed tasks, calling the one or more high-priority tasks to process audio data cached in a memory; and after execution of the one or more high-priority tasks is completed, and in response to determining that one or more low-priority task exist in the to-be-executed tasks, calling the one or more low-priority tasks to process the audio data.
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