Design of voice interaction service system based on improved DFSMN model
In order to further enhance the effectiveness of automated voice interaction services for service robots,an improved DF-SMN-CTC model is proposed to improve the recognition performance of voice interaction systems.Among them,the structure of mem-ory modules and the connection between memory units in the traditional DFSMN model have been changed,and the improved model has been combined with CTC to construct the final Japanese speech recognition model.The experimental results show that compared with the speech recognition model constructed using other modeling criteria and the improved DFSMN model,the improved DFSMN-CTC model can achieve better speech recognition interaction effects,with word error rates reduced by 6.42％and 6.17％,respective-ly;Compared with other speech recognition models,the improved DFSMN-CTC model can maintain the lowest average word error rate under various experimental conditions and has good speech recognition performance.In summary,the Japanese speech interaction system constructed using the improved DFSMN-CTC model can achieve effective Japanese speech interaction and better Japanese speech interaction services,which has certain practical value.
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维普
