codecs; data compression; emotion recognition; speech coding; speech recognition; Berlin database of emotional speech; Gaussian mixture model; acoustic features; automatic emotion recognition; call-centers; codecs; compressed speech; compression algorithms; enterface05; non-linear dynamics; non-linear features; speech databases; speech signals; Accuracy; Codecs; Databases; Emotion recognition; Frequency measurement; Speech; Speech recognition;
机译:语音特征选择可自动识别语音
机译:用话语和音节级韵律特征对自动语音情感识别的关注和特征选择
机译:使用声学特征的语音情感识别的最佳两阶段特征选择
机译:利用声学和非线性功能自动识别压缩语音中的情绪
机译:压缩非线性表示语音频谱幅度提高语音自动识别的鲁棒性。
机译:使用从独立于受试者的声学到发音反转的发音特征进行自动语音识别
机译:使用声学和词汇特征自动识别语音中的自发情绪