Deep long-term and short-term memory recurrent neural network acoustic model establishing method based on selective attention principles
A recurrent neural network, long-term and short-term memory technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as inability to meet practical performance
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[0020] The following describes the implementation of the present invention in detail with reference to the drawings and embodiments.
[0021] The present invention uses the deep long-short-term memory loop neural network acoustic model based on the selective attention principle to realize continuous speech recognition. However, the model and method provided by the present invention are not limited to continuous speech recognition, and can also be any method and device related to speech recognition.
[0022] The present invention mainly includes the following steps:
[0023] The first step is to build a deep long and short-term memory loop neural network based on the selective attention principle
[0024] Such as figure 1 As shown, input 101 and input 102 are the voice signal input x at time t and t-1 t And x t-1 (t∈[1,T], T is the total time length of the speech signal); the long and short-term memory loop neural network at time t consists of attention gate 103, input gate 104, forget...
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