Sökning: "data augmentation"

Visar resultat 21 - 25 av 188 uppsatser innehållade orden data augmentation.

1. 21. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :M Asjid Tanveer; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. LÄS MER

3. 22. Exploring Normalizing Flow Modifications for Improved Model Expressivity

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Marcel Juschak; [2023]
   Nyckelord :Normalizing Flows; Motion Synthesis; Invertible Neural Networks; Glow; MoGlow; Maximum Likelihood Estimation; Generative models; normaliserande flöden; rörelsesyntes; inverterbara neurala nätverk; Glow; MoGlow; maximum likelihood-skattning generativa modeller;

   Sammanfattning : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. LÄS MER

4. 23. Club Head Tracking : Visualizing the Golf Swing with Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Fredrik Herbai; [2023]
   Nyckelord :Golf; Machine learning; Neural network; XGBoost; Interpolation; Deep learning; Data collection; Data augmentation;

   Sammanfattning : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. LÄS MER

5. 24. Mispronunciation Detection with SpeechBlender Data Augmentation Pipeline

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yassine Elkheir; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

7. 25. Natural Language Processing for Improving Search Query Results : Applied on The Swedish Armed Force's Profession Guide

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Andreas Harju Schnee; [2023]
   Nyckelord :natural language processing; NLP; maskininlärning; ML; artificiell intelligens; AI; language model; information retrieval system; document embedding; text representation; text data augmentation;

   Sammanfattning : Text has been the historical way of preserving and acquiring knowledge, and text data today is an increasingly growing part of the digital footprint together with the need to query this data for information. Seeking information is a constant ongoing process, and is a crucial part of many systems all around us. LÄS MER