Aaltodoc - homepage
Communities & Collections
Browse Aaltodoc publication archive
EN | FI |
Log In
  1. Home
  2. Browse by Author

Browsing by Author "Von Zweygbergk, Robert"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Comparison of discriminative and generative ASR models for pronunciation scoring
    (2020-05-18) Von Zweygbergk, Robert
    Sähkötekniikan korkeakoulu | Master's thesis
    This thesis explores the difference between generative and discriminative hybrid speech recognition models, and compares how they perform when applied to pronunciation evaluation, specifically Goodness of Pronunciation scoring. It expands on the work of Hu et al. (2013). The effects of error modeling are also investigated. For the purpose of comparison, multiple GMM and DNN models with different features are trained for speech-to-text. These models are then evaluated by classifying annotated speech samples as either correctly or incorrectly pronounced, using the Goodness of Pronunciation scores as features. Statistical methods were used to compare classifier performance. Despite outperforming GMM-HMMs in speech-to-text, DNN-HMM systems could not be shown to perform significantly better on the GOP task. Applying error modeling resulted in significant performance improvement for some of the models.
  • No Thumbnail Available
    Design av mobilantenner genom analys av karakteristiska moder
    (2016-09-26) Von Zweygbergk, Robert
    Sähkötekniikan korkeakoulu | Bachelor's thesis
Help | Open Access publishing | Instructions to convert a file to PDF/A | Errata instructions | Send Feedback
Aalto UniversityPrivacy notice | Cookie settings | Accessibility Statement | Aalto University Learning Centre