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Interactive Voice Response using Sentiment Analysis in Automatic Speech Recognition Systems

机译:自动语音识别系统中使用情感分析的交互式语音响应

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In previous days, Dual Tone Multi-Frequency Signaling technique was used to obtain inputs from the keypad. In this unique frequencies are sent over the audio channel for computer to understand. Speech recognition and artificial intelligence powers the automatic speech recognition systems, these systems can be applied in the call center environments. This paper explains the use of sentiment analysis to identify if the customer are satisfied the ASR system's performance. This paper presents approaches and techniques for how sentiment analysis can be used in call centre environments to recognize user emotions.
机译:在前几天,使用双音多频信号技术从键盘获取输入。在这种情况下,独特的频率通过音频通道发送,供计算机理解。语音识别和人工智能为自动语音识别系统提供了动力,这些系统可以应用在呼叫中心环境中。本文介绍了使用情感分析来确定客户是否满意ASR系统的性能。本文介绍了如何在呼叫中心环境中使用情感分析来识别用户情绪的方法和技术。

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