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篇名
A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition
並列篇名
A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition
作者 Chun-Min Chang (Chun-Min Chang)Wei-Cheng Lin (Wei-Cheng Lin)Chi-Chun Lee (Chi-Chun Lee)
英文摘要
Speech is one of the most natural form of human communication. Recognizing emotion from speech continues to be an important research venue to advance human-machine interface design and human behavior understanding. In this work, we propose a novel set of features, termed trajectory-based spatial-temporal spectral features, to recognize emotions from speech. The core idea centers on deriving descriptors both spatially and temporally on speech spectrograms over a sub-utterance frame (e.g., 250ms) - an inspiration from dense trajectory-based video descriptors. We conduct categorical and dimensional emotion recognition experiments and compare our proposed features to both the well-established set of prosodic and spectral features and the state-of-the-art exhaustive feature extraction. Our experiment demonstrate that our features by itself achieves comparable accuracies in the 4-class emotion recognition and valence detection task, and it obtains a significant improvement in the activation detection. We additionally show that there exists complementary information in our proposed features to the existing acoustic features set, which can be used to obtain an improved emotion recognition accuracy.
起訖頁 87-98
關鍵詞 Emotion RecognitionSpeech ProcessingSpatial-Temporal DescriptorsMel-Filter Bank Energy
刊名 中文計算語言學期刊  
期數 201712 (22:2期)
出版單位 中華民國計算語言學學會
該期刊-上一篇 以知識表徵方法建構台語聲調群剖析器
 

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