Essays about: "Känsloigenkänning"

Found 4 essays containing the word Känsloigenkänning.

  1. 1. Multilingual Speech Emotion Recognition using pretrained models powered by Self-Supervised Learning

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

    Author : Felix Luthman; [2022]
    Keywords : Speech; Audio; Emotion Recognition; Cross-lingual; Multilingual; Self- Supervised Learning; Wav2vec 2.0; HuBERT; UniSpeech; UniSpeech-SAT; WavLM; Språk; Ljud; Känsloigenkänning; Tvärspråklig; Flerspråkig; Själv-Övervakad Inlärning; Wav2vec 2.0; HuBERT; UniSpeech; UniSpeech-SAT; WavLM;

    Abstract : Society is based on communication, for which speech is the most prevalent medium. In day to day interactions we talk to each other, but it is not only the words spoken that matters, but the emotional delivery as well. Extracting emotion from speech has therefore become a topic of research in the area of speech tasks. READ MORE

  3. 2. Automated Multimodal Emotion Recognition

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

    Author : Marcos Fernández Carbonell; [2020]
    Keywords : Multimodal Machine Learning; Emotion Recognition; Supervised Learning; Unsupervised Learning; Multimodal Maskininlärning; Känsloigenkänning; Övervakad Inlärning; Oövervakad Inlärning;

    Abstract : Being able to read and interpret affective states plays a significant role in human society. However, this is difficult in some situations, especially when information is limited to either vocal or visual cues. Many researchers have investigated the so-called basic emotions in a supervised way. READ MORE

  4. 3. Speech Emotion Recognition from Raw Audio using Deep Learning

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

    Author : Jonathan Rintala; [2020]
    Keywords : Speech Emotion Recognition; Feature Learning; Deep Learning; Audio; SER; CNN; LSTM; Känsloigenkänning; Djupinlärning; Ljud; SER; CNN; LSTM;

    Abstract : Traditionally, in Speech Emotion Recognition, models require a large number of manually engineered features and intermediate representations such as spectrograms for training. However, to hand-engineer such features often requires both expert domain knowledge and resources. READ MORE

  5. 4. Syna: Emotion Recognition based on Spatio-Temporal Machine Learning

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Daniyal Shahrokhian; [2017]
    Keywords : Emotion recognition; spatio-temporal machine learning; Känsloigenkänning; spatio-temporal maskininlärning;

    Abstract : The analysis of emotions in humans is a field that has been studied for centuries. Through the last decade, multiple approaches towards automatic emotion recognition have been developed to tackle the task of making this analysis autonomous. READ MORE