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Signal processing algorithm-integrated deep neural network-based speech recognition apparatus and learning method thereof

机译:集成了深度神经网络的信号处理算法的语音识别装置及其学习方法

摘要

Provided are a signal processing algorithm-integrated deep neural network (DNN)-based speech recognition apparatus and a learning method thereof. A model parameter learning method in a deep neural network (DNN)-based speech recognition apparatus implementable by a computer includes converting a signal processing algorithm for extracting a feature parameter from a speech input signal of a time domain into signal processing deep neural network (DNN), fusing the signal processing DNN and a classification DNN, and learning a model parameter in a deep learning model in which the signal processing DNN and the classification DNN are fused.
机译:提供了一种基于信号处理算法的深度神经网络集成语音识别装置及其学习方法。在可由计算机实现的基于深度神经网络(DNN)的语音识别装置中的模型参数学习方法包括将用于从时域的语音输入信号中提取特征参数的信号处理算法转换为信号处理深度神经网络(DNN) ),融合信号处理DNN和分类DNN,并在融合了信号处理DNN和分类DNN的深度学习模型中学习模型参数。

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