Essays about: "Dataförstärkning."

Showing result 1 - 5 of 6 essays containing the word Dataförstärkning..

1. 1. Mispronunciation Detection with SpeechBlender Data Augmentation Pipeline

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

   Author : Yassine Elkheir; [2023]
   Keywords : Computer-assisted pronunciation training CAPT ; Automatic Speech Recognition ASR ; Mispronunciation Detection MD and Data Augmentation; Datorstödd uttalsträning CAPT ; automatisk taligenkänning ASR ; upptäckt av felaktigt uttal MD och dataförstärkning;

   Abstract : The rise of multilingualism has fueled the demand for computer-assisted pronunciation training (CAPT) systems for language learning, CAPT systems make use of speech technology advancements and offer features such as learner assessment and curriculum management. Mispronunciation detection (MD) is a crucial aspect of CAPT, aimed at identifying and correcting mispronunciations in second language learners’ speech. READ MORE

3. 2. Techniques for Multilingual Document Retrieval for Open-Domain Question Answering : Using hard negatives filtering, binary retrieval and data augmentation

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

   Author : Carlos Lago Solas; [2022]
   Keywords : OpenQA; Multilingual Transformers; Document retrieval; Data augmentation.; OpenQA; Flerspråkiga Transformatorer; Dokumenthämtning; Dataförstärkning.;

   Abstract : Open Domain Question Answering (OpenQA) systems find an answer to a question from a large collection of unstructured documents. In this information era, we have an immense amount of data at our disposal. However, filtering all the content and trying to find the answers to our questions can be too time-consuming and ffdiicult. READ MORE

4. 3. Noisy recognition of perceptual mid-level features in music

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

   Author : Simon Mossmyr; [2021]
   Keywords : ;

   Abstract : Self-training with noisy student is a consistency-based semi-supervised self- training method that achieved state-of-the-art accuracy on ImageNet image classification upon its release. It makes use of data noise and model noise when fitting a model to both labelled data and a large amount of artificially labelled data. READ MORE

5. 4. Convolutional Neural Networks for Classification of Metastatic Tissue in Lymph Nodes : How Does Cutout Affect the Performance of Convolutional Neural Networks for Biomedical Image Classification?

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

   Author : Andreas Ericsson; Filip Döringer Kana; [2021]
   Keywords : Convolutional neural network; CNN; breast cancer; computer aided diagnostics; data augmentation;

   Abstract : One of every eight women will in their lifetime suffer from breast cancer, making it the most common type of cancer for women. A successful treatment is very much dependent on identifying metastatic tissue which is cancer found beyond the initial tumour. Using deep learning within biomedical analysis has become an effective approach. READ MORE

6. 5. Data Augmentation in Solving Data Imbalance Problems

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

   Author : Jie Gao; [2020]
   Keywords : Data augmentation; Data imbalance; NLP; Deep learning; Comparison.; Dataförstoring; Data obalans; Textklassificering; Naturlig språkbehandling; Djup lärning.;

   Abstract : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. READ MORE