Essays about: "emotion recognition system"

Showing result 1 - 5 of 11 essays containing the words emotion recognition system.

1. 1. Hierarchical Fusion Approaches for Enhancing Multimodal Emotion Recognition in Dialogue-Based Systems : A Systematic Study of Multimodal Emotion Recognition Fusion Strategy

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuqi Liu; [2023]
   Keywords : Multimodal; emotion recognition; hierarchical fusion; context modeling; attention mechanism; feature-level fusion; decision-level fusion; machine learning; deep learning; Multimodal; emotion recognition; hierarkisk fusion; kontextmodellering; uppmärksamhetsmekanism; funktionssammanfogning på nivån för egenskaper; beslutsnivås-funktionssammanfogning; maskininlärning; djupinlärning;

   Abstract : Multimodal Emotion Recognition (MER) has gained increasing attention due to its exceptional performance. In this thesis, we evaluate feature-level fusion, decision-level fusion, and two proposed hierarchical fusion methods for MER systems using a dialogue-based dataset. READ MORE

3. 2. Emotion AI in Mental Healthcare : How can affective computing enhance mental healthcare for young adults?

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nassim Sheykholeslami; [2022]
   Keywords : Artificial Intelligence; Emotion AI; Affective Computing; Machine Learning; Mental Health; Digital Mental Health Applications; mHealth; Anxiety; Depression; Psychological Therapy; COVID-19; Artificiell intelligens; känslobaserad AI; affektiv databehandling; maskininlärning; psykisk hälsa; digitala tillämpningar för psykisk hälsa; mHälsa; ångest; depression; psykologisk terapi; COVID-19;

   Abstract : There has been a stigma attached to mental health for years, with many people afraid to seek help from mental health professionals due to negative stereotypes about those seeking help. Young adults in particular are still reluctant in regards to seeing a therapist since they are ashamed, do not want to show weakness or they perceive their need for therapy as low. READ MORE

4. 3. The Perception of Mixed Emotions From Dynamic Video-Only and Audio-Only Expressions

   University essay from Stockholms universitet/Psykologiska institutionen

   Author : Anja Seiger; [2022]
   Keywords : ;

   Abstract : Although the concept of mixed emotions has shown to be a robust and measurable phenomenon, the perception of mixed emotions has rarely been addressed in previous studies and remains poorly understood. Based on this clear research gap, the present study aimed to explore the perception of mixed emotions expressed through video-only and audio-only modalities. READ MORE

5. 4. Multi-objective optimization for model selection in music classification

   University essay from KTH/Optimeringslära och systemteori

   Author : Rintaro Ujihara; [2021]
   Keywords : Music emotion recognition; Mel spectrogram; MFCC; CENS; Onset; Tonnetz; HPSS; 1D convolutional neural network; Attention LSTM; 1DCNN BiLSTM; Pareto optimality;

   Abstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE

6. 5. Hotspot Detection for Automatic Podcast Trailer Generation

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Winstead Xingran Zhu; [2021]
   Keywords : automatic podcast trailer generation; hotspot detection; speech emotion recognition; text emotion recognition; text arousal detection; pull-quote selection; music detection; laughter detection; affect analysis; affective computing; machine learning; neural network;

   Abstract : With podcasts being a fast growing audio-only form of media, an effective way of promoting different podcast shows becomes more and more vital to all the stakeholders concerned, including the podcast creators, the podcast streaming platforms, and the podcast listeners. This thesis investigates the relatively little studied topic of automatic podcast trailer generation, with the purpose of en- hancing the overall visibility and publicity of different podcast contents and gen- erating more user engagement in podcast listening. READ MORE