Healthy aging leads to complex changes in the functional network of speech processing in a noisy environment. The dual‐route neural architecture has been applied to the study of speech processing. Although evidence suggests that senescent increases activity in the brain regions across the dorsal and ventral stream regions to offset reduced periphery, the regulatory mechanism of dual‐route functional networks underlying such compensation remains largely unknown. Here, by utilizing functional near‐infrared spectroscopy (fNIRS), we investigated the compensatory mechanism of the dual‐route functional connectivity, and its relationship with healthy aging by using a speech perception task at varying signal‐to‐noise ratios (SNR) in healthy individuals (young adults, middle‐aged adults, and older adults). Results showed that the speech perception scores showed a significant age‐related decrease with the reduction of the SNR. The analysis results of dual‐route speech processing networks showed that the functional connection of Wernicke's area and homolog Wernicke's area were age‐related increases. Further to clarify the age‐related characteristics of the dual‐route speech processing networks, graph‐theoretical network analysis revealed an age‐related increase in the efficiency of the networks, and the age‐related differences in nodal characteristics were found both in Wernicke's area and homolog Wernicke's area under noise environment. Thus, Wernicke's area might be a key network hub to maintain efficient information transfer across the speech process network with healthy aging. Moreover, older adults would recruit more resources from the homologous Wernicke's area in a noisy environment. The recruitment of the homolog of Wernicke's area might provide a means of compensation for older adults for decoding speech in an adverse listening environment. Together, our results characterized dual‐route speech processing networks at varying noise environments and provided new insight for the compensatory theories of how aging modulates the dual‐route speech processing functional networks.