首页> 外国专利> Native language identification with time delay deep neural networks trained separately on native and non-native english corpora

Native language identification with time delay deep neural networks trained separately on native and non-native english corpora

机译:具有时延深度神经网络的本地语言识别,分别在本地和非本地英语语料库上进行训练

摘要

Systems and methods for identifying a person's native language, are presented. A native language identification system, comprising a plurality of artificial neural networks, such as time delay deep neural networks, is provided. Respective artificial neural networks of the plurality of artificial neural networks are trained as universal background models, using separate native language and non-native language corpora. The artificial neural networks may be used to perform voice activity detection and to extract sufficient statistics from the respective language corpora. The artificial neural networks may use the sufficient statistics to estimate respective T-matrices, which may in turn be used to extract respective i-vectors. The artificial neural networks may use i-vectors to generate a multilayer perceptron model, which may be used to identify a person's native language, based on an utterance by the person in his or her non-native language.
机译:提出了用于识别人的母语的系统和方法。提供了一种本地语言识别系统,其包括多个人工神经网络,例如时延深度神经网络。使用单独的本地语言和非本地语言语料,将多个人工神经网络中的各个人工神经网络训练为通用背景模型。人工神经网络可用于执行语音活动检测并从相应的语言语料库中提取足够的统计数据。人工神经网络可以使用足够的统计量来估计各个T矩阵,然后可以将其用于提取各个i向量。人工神经网络可以使用i矢量来生成多层感知器模型,该模型可以基于人使用其非本国语言的话语来识别该人的母语。

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