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- W4308732303 abstract "Optimization framework of digital online model for vocal music training based on computer data perception and fusion is studied in the paper. Usually, the training in pattern recognition refers to statistical learning, that is, it requires a large number of training examples to obtain the estimated values of the parameters in the model, while the high-level voice semantic training is based on example learning. With the mentioned models, the signal fusion ideas are considered. With the development of general communication technology, audio AGC technology has also developed from analog circuits to the era of the digital signal processing. With these ideas, the digital online model for vocal music training will be then considered as the novel understanding model. Through the simulation, the framework of digital online model for vocal music training is tested and validated." @default.
- W4308732303 created "2022-11-15" @default.
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- W4308732303 date "2022-10-13" @default.
- W4308732303 modified "2023-09-23" @default.
- W4308732303 title "Optimization Framework of Digital Online Model for Vocal Music Training based on Computer Data Perception and Fusion" @default.
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- W4308732303 doi "https://doi.org/10.1109/icecaa55415.2022.9936134" @default.
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