An intelligent sales guidance conversion method based on AI voice emotion recognition

By using an AI-based voice emotion recognition method, the voice data streams of sales staff and customers are split and interactive relationships are established to generate dynamic emotion perception factors. This solves the problems of lagging and insufficient accuracy in emotion recognition in existing technologies, and improves the real-time performance and accuracy of emotion recognition, thereby enhancing the effectiveness of sales guidance and customer experience.

CN122417090APending Publication Date: 2026-07-17
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Patent Information

Application Number
CN202610627265.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-05-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately segment and temporally correlate two-way voice data streams between sales and customers, resulting in a lack of reliable contextual support for sentiment analysis. The sentiment recognition results are lagging and one-sided, making it difficult to capture real-time emotional fluctuations and changes in customers during sales communication. It is also impossible to predict customer emotional shifts in advance, thus missing the best opportunity to guide sales conversion.

Method used

By using an AI-based voice emotion recognition method, the two-way voice data stream of the sales interaction process is split into sales-side voice blocks and client-side voice blocks. The interaction relationship between the two is determined, dynamic emotion perception factors of the client-side voice blocks are generated, and a matching relationship between dynamic emotion identifiers and the speech of the sales-side voice blocks is established, thereby achieving dynamic quantitative representation of emotions and improving accuracy.

Benefits of technology

It achieves real-time and accurate improvement in customer emotion, can predict the direction of emotion changes, generate intelligent sales guidance content, strengthen positive guidance of positive emotions and timely soothe negative emotions, thereby improving customer interaction experience and sales conversion efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种基于AI语音情感识别的智能销售引导转化方法,涉及语音识别技术领域,其技术方案要点包括以下步骤:将销售交互过程的双向语音数据流拆分为销售端语音块和客户端语音块,确定销售端语音块和客户端语音块之间的交互关联关系;根据客户端语音块的特征融合值、标识码、预设实时情感权重系数以及交互关联关系生成客户端语音块的动态情感感知因子;将动态情感标识与状况特征值进行特征匹配得到第一情感识别结果;根据动态情感标识与路径关联信息得到第二情感识别结果;对第一情感识别结果与第二情感识别结果进行处理分析后输出销售引导内容,效果是有效提升客户交互体验与销售转化效率。
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