Deep representation learning in speech processing: Challenges, recent advances, and future trends
Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …
engineered acoustic features (feature engineering) as a separate distinct problem from the …
A review of generalizable transfer learning in automatic emotion recognition
K Feng, T Chaspari - Frontiers in Computer Science, 2020 - frontiersin.org
Automatic emotion recognition is the process of identifying human emotion from signals
such as facial expression, speech, and text. Collecting and labeling such signals is often …
such as facial expression, speech, and text. Collecting and labeling such signals is often …
Unsupervised adversarial domain adaptation for cross-lingual speech emotion recognition
Cross-lingual speech emotion recognition (SER) is a crucial task for many real-world
applications. The performance of SER systems is often degraded by the differences in the …
applications. The performance of SER systems is often degraded by the differences in the …
Adversarial domain adaption for multi-cultural dimensional emotion recognition in dyadic interactions
Cross-cultural emotion recognition has been a challenging research problem in the affective
computing field. In this paper, we present our solutions for the Cross-cultural Emotion Sub …
computing field. In this paper, we present our solutions for the Cross-cultural Emotion Sub …
Emotion recognition from natural phone conversations in individuals with and without recent suicidal ideation
Suicide is a serious public health concern in the US, taking the lives of over 47,000 people
in 2017. Early detection of suicidal ideation is key to prevention. One promising approach to …
in 2017. Early detection of suicidal ideation is key to prevention. One promising approach to …
Controlling for confounders in multimodal emotion classification via adversarial learning
Various psychological factors affect how individuals express emotions. Yet, when we collect
data intended for use in building emotion recognition systems, we often try to do so by …
data intended for use in building emotion recognition systems, we often try to do so by …
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation
M Jaiswal - arXiv preprint arXiv:2309.03238, 2023 - arxiv.org
Emotion recognition is a complex task due to the inherent subjectivity in both the perception
and production of emotions. The subjectivity of emotions poses significant challenges in …
and production of emotions. The subjectivity of emotions poses significant challenges in …
[PDF][PDF] Reconocimiento de Emociones en la Voz para Hablantes Desconocidos con Transformers de Audio
FP López - 2024 - oa.upm.es
El reconocimiento de emociones en la voz tradicionalmente se realiza para un dataset de
laboratorio en concreto, pero cuando los modelos se utilizan para clasificar otros conjuntos …
laboratorio en concreto, pero cuando los modelos se utilizan para clasificar otros conjuntos …