Essays about: "Klassificering av tal"

Showing result 1 - 5 of 8 essays containing the words Klassificering av tal.

1. 1. Gender Bias in Machine Learning : The Effect of Using Female Versus Male Audio When Classifying Emotions in Speech Using Machine Learning

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

   Author : Julia Adler; Klara Folke; [2023]
   Keywords : ;

   Abstract : To avoid discrimination between the genders and to improve the performance of machine learning, it is important to evaluate how different test data can impact how accurate machine learning models can be. This study investigates if the distribution between women and men in the training data affects how accurately different machine learning models can classify emotions used in the speaker’s tone of voice. READ MORE

3. 2. Speech Classification using Acoustic embedding and Large Language Models Applied on Alzheimer’s Disease Prediction Task

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

   Author : Maryam Kheirkhahzadeh; [2023]
   Keywords : Speech classification; Alzheimer’s disease detection; GPT-3; BERT; Text embedding; Dementia; wav2vec2.0; Klassificering av tal; detektion av Alzheimer’s sjukdom; GPT-3; BERT; textinbäddning; demens; wav2vec2.0;

   Abstract : Alzheimer’s sjukdom är en neurodegenerativ sjukdom som leder till demens. Den kan börja tyst i de tidiga stadierna och fortsätta under åren till en allvarlig och obotlig fas. Språkstörningar uppstår ofta som ett av de tidiga symptomen och kan till slut leda till fullständig mutism i de avancerade stadierna av sjukdomen. READ MORE

4. 3. Automatic Podcast Chapter Segmentation : A Framework for Implementing and Evaluating Chapter Boundary Models for Transcribed Audio Documents

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

   Author : Adam Feldstein Jacobs; [2022]
   Keywords : Machine Learning; Natural Language Processing; Speech Technology; Deep Learning; Podcast Segmentation; Maskininlärning; Språkteknologi; Djupinlärning; Podcast Segmentation;

   Abstract : Podcasts are an exponentially growing audio medium where useful and relevant content should be served, which requires new methods of information sorting. This thesis is the first to look into the state-of-art problem of segmenting podcasts into chapters (structurally and topically coherent sections). READ MORE

5. 4. Medical image captioning based on Deep Architectures

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

   Author : Georgios Moschovis; [2022]
   Keywords : Artificial Neural Networks; Deep Learning; Speech and language technology; Natural Language Processing NLP ; Deep networks; Generative deep networks; Convolutional neural networks CNN ; Text generation; Information retrieval; Diagnostic captioning; Image captioning; concept prediction; classification; image encoders; transformers; Encoder-Decoder architecture; abstractive summarization; Neurala nätverk; Djup inlärning; Tal-och språkteknologi; naturlig språkbehandling; djup neurala nätverk; generativa djupa nätverk; konvolutionella neurala nätverk; Textgenerering; Informationssökning; Diagnostisk textning; Bildtextning; konceptförutsägelse; klassificering; bildkodare; transformatorer; kodaravkodararkitektur; abstrakt sammanfattning;

   Abstract : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. READ MORE

6. 5. Evaluation of two CNN models, VGGNet-16 & VGGNet-19, for classification of Alzheimer’s disease in brain MRI scans

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

   Author : Tim Jonsson; Isabella Tapper; [2020]
   Keywords : ;

   Abstract : Computer-aided-diagnosis (CAD) emerged in the early 1950s and since then CAD has facilitated the diagnosing of many medical conditions and diseases. In particular, CADfor Alzheimer’s disease (AD) has been immensely researched the last decade thanks to advanced neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET). READ MORE