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公开(公告)号:US20240212673A1
公开(公告)日:2024-06-27
申请号:US18557644
申请日:2021-04-27
CPC分类号: G10L15/16 , G10L15/063 , G10L25/18 , G10L25/24 , G10L25/78 , G10L2015/088
摘要: Yes A keyword spotting method based on a neural network (NN) acoustic model is provided to tolerate for dynamically adding and deleting keywords by remapping new keywords as individual Acoustic Model Sequences. The method compares sequence matching in the phoneme spaces instead of directly in predetermined acoustic space. Therefore, the acoustic model cross comparison model is relaxed from global optimization to local minimum distance to each distribution.
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2.
公开(公告)号:US20230306943A1
公开(公告)日:2023-09-28
申请号:US18249913
申请日:2020-10-22
发明人: Jianwen ZHENG , Shao-Fu SHIH , Kai LI , Cheng CHI
IPC分类号: G10H1/36 , G10L21/028 , G10L25/81 , G10L21/06 , G10L25/30
CPC分类号: G10H1/366 , G10L21/028 , G10L25/81 , G10L21/06 , G10L25/30
摘要: A vocal removal method and a system thereof are provided. In the vocal removal method, a voice separation model is generated and trained to process a real-time input music to separate the voice and the accompaniment. The vocal removal method further comprises the steps of feature extraction and reconstruction to obtain the voice minimized music.
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