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Speaker-Dependent Audio-Visual Emotion Recognition
http://www2.cmp.uea.ac.uk/~bjt/avsp2009/proc/papers/paper-09.pdf
Speaker-Dependent Audio-Visual Emotion Recognition Sanaul Haq and Philip J.B. Jackson Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK {s.haq, p.jackson}@surrey.ac.uk Abstract This paper explores the recognition of expressed emotion from speech and facial gestures for the speaker-dependent case. Ex-
PPT - Speaker-Dependent Audio-Visual Emotion Recognition ...
https://www.slideserve.com/love/speaker-dependent-audio-visual-emotion-recognition
Summary Speaker-Dependent Audio-Visual Emotion Recognition Sanaul Haq Philip J.B. Jackson Outline Introduction Method Audio-visual experiments Summary Conclusions • For British English emotional database a recognition rate comparable to human was achieved (speaker-dependent). • The LDA outperformed PCA with the top 40 features.
(PDF) Speaker-Dependent Emotion Recognition For Audio ...
https://www.researchgate.net/publication/229043702_Speaker-Dependent_Emotion_Recognition_For_Audio_Document_Indexing
Recognizing Emotions for the Audio-Visual Document Indexing. January 2004. ... (VQ) to perform speaker-dependent emotion recognition. Many other features: energy, pitch, zero crossing, ...
Visual-audio emotion recognition based on multi-task and ...
https://www.sciencedirect.com/science/article/pii/S0925231220300990
And emotion recognition accuracy of visual-audio by our method reaches 81.36% and 78.42% in speaker-independent and speaker-dependent experiments, respectively, which maintain higher performance than some state-of-the-art works.
[PDF] Bimodal Human Emotion Classification in the …
https://www.semanticscholar.org/paper/Bimodal-Human-Emotion-Classification-in-the-Haq-Jan/3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f
This paper investigates the recognition of expressed emotion from speech and facial expressions for the speaker-dependent task. The experiments were performed to develop a baseline system for the audio-visual emotion classification, and to investigate different ways of combining the audio and visual information to achieve better emotion classification. The extracted features …
Speaker-independent emotion recognition exploiting a ...
https://link.springer.com/article/10.1007/s10772-012-9127-7
As already noted, speaker-dependent emotion recognition leads to far better results than speaker-independent modeling. Previous work (Austermann et al. 2005 ) has indicated that an average emotion recognition rate of 84% is achieved in speaker-dependent experiments, whereas for the speaker-independent case the emotion recognition drops to 60%.
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