Abstract: Considering that different frame features have different effects on dialect recognition when the traditional x-vector model is used to generate segment representation of dialect speech, and that Uighur language is an agglutinative language, a recognition method of Uighur dialect based on attention mechanism and causal convolution network is proposed. First, the multi-layer causal volume network is used to model the speech sequence, then the dilated convolution kernel is used to expand the sampling range of the receptive field, and finally the attention pooling is used to obtain the speech segment features. The experimental results of Uyghur dialect recognition show that the accuracy of the proposed method is 23.19 percentage higher than that of the standard x-vector model.