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Detecting human emotion via speech recognition by using speech spectrogram

机译:使用语音频谱图通过语音识别检测人的情绪

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This research presents a novel algorithm for detecting human emotion via speech recognition by using speech spectrogram. The proposed algorithm aims to detect the emotional by using information inside the spectrogram. Neural network was used for being the classifier. A new approach to feature extraction based on analysis of two dimensions time-frequency representation of a speech signal have been presented. The algorithm was tested with Berlin emotion database and Audiovisual Thai Emotion Database. The experimental results show that the proposed framework can efficiently find the correct speech emotion compared to by using the comparing method.
机译:这项研究提出了一种新的算法,通过使用语音频谱图通过语音识别来检测人的情绪。所提出的算法旨在通过使用频谱图中的信息来检测情绪。神经网络被用作分类器。提出了一种基于语音信号二维时频表示分析的特征提取新方法。该算法已通过柏林情感数据库和泰国视听情感数据库进行了测试。实验结果表明,与比较方法相比,该框架可以有效地找到正确的语音情感。

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