Ladder networks for emotion recognition: Using unsupervised auxiliary tasks to improve predictions of emotional attributes

S Parthasarathy, C Busso - arXiv preprint arXiv:1804.10816, 2018 - arxiv.org
Recognizing emotions using few attribute dimensions such as arousal, valence and
dominance provides the flexibility to effectively represent complex range of emotional …

[HTML][HTML] Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers

P Adibi, S Kalani, SJ Zahabi, H Asadi… - World Journal of …, 2023 - ncbi.nlm.nih.gov
An important factor in the course of daily medical diagnosis and treatment is understanding
patients' emotional states by the caregiver physicians. However, patients usually avoid …

Time-scale feature extractions for emotional speech characterization: applied to human centered interaction analysis

M Chetouani, A Mahdhaoui, F Ringeval - Cognitive Computation, 2009 - Springer
Emotional speech characterization is an important issue for the understanding of interaction.
This article discusses the time-scale analysis problem in feature extraction for emotional …

Mismatched feature detection with finer granularity for emotional speaker recognition

L Chen, Y Yang, Z Wu - Journal of Zhejiang University SCIENCE C, 2014 - Springer
The shapes of speakers' vocal organs change under their different emotional states, which
leads to the deviation of the emotional acoustic space of short-time features from the neutral …

Emotional speech characterization based on multi-features fusion for face-to-face interaction

A Mahdhaoui, F Ringeval… - 2009 3rd International …, 2009 - ieeexplore.ieee.org
Speech contains non verbal elements known as paralanguage, including voice quality,
emotion and speaking style, as well as prosodic features such as rhythm, intonation and …

用于情感说话人识别的精细失真特征检测与修正

L Chen, Y Yang, Z Wu, AL Chen, AY Yang… - Journal of Zhejiang …, 2014 - jzus.zju.edu.cn
研究目的: 说话人情感变化时其发音器官会发生形变, 导致部分语音特征分布较中性条件下发生
一定偏移. 这些发生偏移的特征使得说话人识别性能大幅下降, 称作" 失真特征", 需剔除或修正 …

[PDF][PDF] Predicting treatment outcomes in dysarthria through speech feature analysis.

AR Fletcher - 2016 - ir.canterbury.ac.nz
Increasing loudness and reducing speech rate are common behavioural speech
modifications used in the treatment of dysarthria. Both strategies provide a promising basis …