Sökning: "Arash Dabiri"

Hittade 3 uppsatser innehållade orden Arash Dabiri.

  1. 1. Improving accuracy of speech recognition for low resource accents : Testing the performance of fine-tuned Wav2vec2 models on accented Swedish

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

    Författare :Arash Dabiri; [2023]
    Nyckelord :Speech-to-text; deep learning; accents; wav2vec; tal-till-text; djupinlärning; brytningar; wav2vec;

    Sammanfattning : While the field of speech recognition has recently advanced quickly, even the highest performing models struggle with accents. There are several methods of improving the performance on accents, but many are hard to implement or need high amounts of data and are therefore costly to implement. LÄS MER

  2. 2. A study on the influence of CSR on Nordic stock performance during Covid-19

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Arash Dabiri; Lisa Blenwall; [2021]
    Nyckelord :COVID-19; Exogenous shock; CSR; Stock performance; Trust;

    Sammanfattning : The majority of prior studies have found that firms with a high CSR rating have enjoyed higher returns on their stocks than comparable firms with lower CSR during financial crises, generally defined as having low societal trust levels. This effect is more prevalent in high trust societies such as the Nordics. LÄS MER

  3. 3. Comparing machine learning models for predicting stock market volatility using social media sentiment : A comparison of the predictive power of the Artificial Neural Network, Support Vector Machine and Decision Trees models on price volatility using social media sentiment

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

    Författare :Max Persson; Arash Dabiri; [2021]
    Nyckelord :;

    Sammanfattning : We aimed to explore how the machine learning models Artificial Neural Network (ANN), Support Vector Machine (SVM) and Decision tree (DT) compared in analyzing the effects of investor sentiment (from the forum www.reddit.com/r/wallstreetbets) in conjunction with other key parameters, to predict asset price volatility of major US corporations. LÄS MER