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An Investigation of Depressed Speech Detection: Features and Normalization.

, , , and . INTERSPEECH, page 2997-3000. ISCA, (2011)

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Emotion recognition in the wild., , , and . J. Multimodal User Interfaces, 10 (2): 95-97 (2016)A multimodal system to characterise melancholia: cascaded bag of words approach., , and . ICMI, page 274-280. ACM, (2017)Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only., , and . ICIP, page 2445-2448. IEEE, (2009)Voice source waveforms for utterance level speaker identification using support vector machines., , and . CITA, page 1-7. IEEE, (2013)A systematic review of neurophysiological sensing for the assessment of acute pain., , , and . npj Digit. Medicine, (2023)An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification., , and . Comput. Speech Lang., (2019)R-norm: improving inter-speaker variability modelling at the score level via regression score normalisation., , and . INTERSPEECH, page 3117-3121. ISCA, (2013)Emotion recognition in the wild challenge 2016., , , and . ICMI, page 587-588. ACM, (2016)Analysis of audio-video correlation in vowels in Australian English., , , and . AVSP, page 115-120. ISCA, (2001)Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network., , , , , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 444-454. Springer, (2020)