View source for US Patent Application 18080713. METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK, AND METHOD AND APPARATUS FOR AUDIO PROCESSING simplified abstract

=METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK, AND METHOD AND APPARATUS FOR AUDIO PROCESSING=


==Organization Name==

[[:Category:BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.|BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.]]


[[Category:BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.]]

==Inventor(s)==

[[:Category:Wei Kang of Beijing (CN)|Wei Kang of Beijing (CN)]][[Category:Wei Kang of Beijing (CN)]]

[[:Category:Povey Daniel of Beijing (CN)|Povey Daniel of Beijing (CN)]][[Category:Povey Daniel of Beijing (CN)]]

[[:Category:Fangjun Kuang of Beijing (CN)|Fangjun Kuang of Beijing (CN)]][[Category:Fangjun Kuang of Beijing (CN)]]

[[:Category:Liyong Guo of Beijing (CN)|Liyong Guo of Beijing (CN)]][[Category:Liyong Guo of Beijing (CN)]]

[[:Category:Zengwei Yao of Beijing (CN)|Zengwei Yao of Beijing (CN)]][[Category:Zengwei Yao of Beijing (CN)]]

[[:Category:Long Lin of Beijing (CN)|Long Lin of Beijing (CN)]][[Category:Long Lin of Beijing (CN)]]

[[:Category:Mingshuang Luo of Beijing (CN)|Mingshuang Luo of Beijing (CN)]][[Category:Mingshuang Luo of Beijing (CN)]]

==METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK, AND METHOD AND APPARATUS FOR AUDIO PROCESSING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18080713 titled 'METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK, AND METHOD AND APPARATUS FOR AUDIO PROCESSING

==Simplified Explanation==

The patent application describes a method and apparatus for training a neural network and audio processing. 

* The method involves encoding training audio data using an encoder network and predicting a text label corresponding to the audio data using a prediction network.
* The first encoding result and the first prediction result are combined to obtain a first joint result.
* The first encoding result and the first prediction result are pruned based on the first joint result to obtain a second encoding result and a second prediction result.
* The second encoding result and the second prediction result are jointly processed using a joiner network to obtain a second joint result.
* The network parameters of the encoder network, prediction network, and joiner network are adjusted based on the second joint result.


==Original Abstract Submitted==

The present disclosure provides a method and apparatus for training a neural network, and a method and apparatus for audio processing. The method includes: encoding training audio data input to an encoder network to obtain a first encoding result, and predicting a text label corresponding to the training audio data input to a prediction network to obtain a first prediction result; jointing the first encoding result with the first prediction result to obtain a first joint result; pruning the first encoding result and the first prediction result according to the first joint result to obtain a second encoding result and a second prediction result; performing a joint processing on the second encoding result and the second prediction result input to a joiner network to obtain a second joint result, and adjusting network parameters of the encoder network, the prediction network and the joiner network according to the second joint result.



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[[Category:G10L15/16]]
[[Category:G10L15/197]]