Research on man-machine conversation mode of service robot based on voiceprint recognition and image recognition technology

Voiceprint recognition is an important biometric authentication method, which has the advantages of convenience, non-contact, little privacy leakage, etc. It is widely used in financial, security, judicial and other fields. Image recognition is the prediction of image feature extraction and image classification. Firstly, the input image is preprocessed and processed into a form suitable for feature extraction, then the features of the image are extracted, and then the feature images are classified and predicted. This paper will discuss the man-machine dialogue mode from two aspects of voiceprint recognition and image recognition technology. This paper presents an algorithm on how to reduce noise and improve the accuracy of voiceprint recognition. After the implementation of this algorithm, the recognition accuracy of the system will decrease with the increase of the number of noises, but the accuracy can still be kept above 90%, which proves that the algorithm in this paper can effectively remove noises in the strong noise environment, and can still maintain a high accuracy in the strong noise environment. This paper not only introduces voiceprint recognition and image recognition, but also discusses how to improve them, so that the two technologies can better use and serve robot man-machine conversation.