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Visar resultat 1 - 5 av 252 uppsatser som matchar ovanstående sökkriterier.

1. 1. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Max Fredriksson; Elise Ramsay Veljanovska; [2024]
   Nyckelord :ASR; Automatic Speech Recognition; Swedish Speech Recognition; Speech Recognition Models; Speech-to-Text; Whisper; VoxRex; Wav2Vec; Model Comparison; Transformer Models; Neural Networks; Machine Learning; WER; Word Error Rate; Transcription;

   Sammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER

3. 2. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach

   Magister-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Niclas Wölner-Hanssen; [2024]
   Nyckelord :Artificial Intelligence; Large Language Models; Retrieval Augmented Generation; Retrieval Augmented Generation Assessment; Contrastive Learning; Mathematics and Statistics;

   Sammanfattning : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. LÄS MER

4. 3. Neural correlates of emotion recognition in psychopaths : A systematic review

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Jenna Norlin; Rendek Saadula; [2023]
   Nyckelord :Psychopathy; emotion recognition; brain; psychopathy checklist-revised; emotion processing;

   Sammanfattning : Science has recently begun showing interest in the different mechanisms of the psychopathic brain, and current scientific research points to deficits in the structural and functional brain regions of psychopaths. Psychopathy is a disorder distinguished by its persistent antisocial behavior, emotional callousness, grandiose self-estimation, and lack of empathy. LÄS MER

5. 4. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

   Författare :Lars Bergström; Dag Hjelm; [2023]
   Nyckelord :;

   Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER

7. 5. Increasing explainability of neural network based retail credit risk models

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

   Författare :Anton Evilevitch; [2023]
   Nyckelord :Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

   Sammanfattning : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. LÄS MER