Voice quality inspection analysis method, device, equipment and medium

Abstract

The invention relates to the technical field of voice processing, and discloses a voice quality inspection analysis method, device, equipment and medium, and the method comprises the steps: predicting a customer identifier through obtaining reservation customer data and a business service list, and building the connection of a server through a Native connection method, the method comprises the following steps: receiving an audio stream file from a server side, sending reservation client data to the server side, adding the reservation client data into a client service list, when the audio stream file from the server side is received, performing audio coding conversion by using an advanced audio coding algorithm to obtain an audio file, and instructing the server side to notify a chest card to clean a space; performing audio quality inspection on the reserved customer data and the audio file through a quality inspection detection model to obtain a quality inspection result; and inputting the quality inspection result and each historical quality inspection result into a quality inspection clustering model, and carrying out graph clustering analysis to obtain a quality inspection analysis result. Therefore, the accuracy of the quality inspection result is improved, and the quality inspection analysis result of insufficient business items is automatically analyzed.

Description

technical field [0001] The invention relates to the technical field of semantic analysis of artificial intelligence, in particular to a voice quality inspection analysis method, device, equipment and medium. Background technique [0002] At present, most of the staff in the bank lobby lack effective supervision methods when communicating with customers. It may be that the staff's tone, tone, and professional knowledge and business explanations are not in place, resulting in poor customer experience and inability to From the customer's dialogue, it is found that the business ability of on-site service is insufficient and the direction of improvement, then, how to conduct quality inspection on the service quality of on-site customer service, so that banks and other financial institutions can make adjustments, which is conducive to the development of related businesses, and in the existing quality The method of inspection is generally self-reported by the staff or artificially ...

AI Technical Summary

Problems solved by technology

[0002] At present, most of the staff in the bank lobby lack effective supervision methods when communicating with customers. It may be that the staff's tone, tone, and professional knowledge and business explanations are not in place, resulting in poor customer experience and inability to From the customer's dialogue, it is found that the business ability of on-site service is insufficient and the direction of improvement, then, how to conduct quality inspection on the service quality of on-site customer service, so that banks and other financial institutions can make adjustments, which is conducive to the development of related businesses, and in the existing quality The method of inspection is generally self-reported by the staff or artificially summarized and analyzed. Therefore, the reliability of the quality inspection results is not high, and the quality inspection analysis results are not objective enough to be true and inaccurate.

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