基于CNN算法的语音情感识别

N. M, P. N, Priyanka, Palaniappan Sambandam
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引用次数: 1

摘要

话语情感识别是通过语气分析和语篇分析来分析人的表达,确定用户实际情感的一种方法。文本分析使用SVM算法,音调分析使用CNN算法。通过语言表达的情感不同于通过说话者的语气表达的情感。本文的重点是通过分析说话人的话语和语气来确定说话人的确切情绪。当两种实践一起使用时,将获得令人信服的结果。这是为了帮助协会理解顾客对依赖于感觉确认的物品的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech Emotional Recognition Using CNN Algorithm
Discourse Emotional Recognition is a method of analyzing the expressions of the human and determining the actual emotion of user through tone analysis and text analysis. Text analysis uses SVM algorithm and tone analysis uses CNN algorithm. Emotion expressed through words differs from emotion expressed through the speaker's tone. This paper focuses on determining the speaker's exact emotions by analyzing both the words and the tone of talk. At the point when the two practices are utilized together, compelling outcomes are acquired. This was intended to help the association in understanding the perspective of the customer on the item dependent on the feeling acknowledgment.
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