Sökning: "word recognition"

Visar resultat 21 - 25 av 110 uppsatser innehållade orden word recognition.

  1. 21. Pre-training a knowledge enhanced model in biomedical domain for information extraction

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Xi Yan; [2022]
    Nyckelord :bio-nlp; knowledge enhanced language model; pre-training; information extraction. transformer;

    Sammanfattning : While recent years have seen a rise of research in knowledge graph enrichedpre-trained language models(PLM), few studies have tried to transfer the work to the biomedical domain. This thesis is a first attempt to pre-train a large-scalebiological knowledge enriched language model (KPLM). Under the frameworkof CoLAKE (T. Sun et al. LÄS MER

  3. 22. A Swedish wav2vec versus Google speech-to-text

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ester Lagerlöf; [2022]
    Nyckelord :ASR; automatic speech recognition; speech-to-text; wav2vec; Google speech-to-text; model comparison;

    Sammanfattning : As the automatic speech recognition technology is becoming more advanced, the possibilities of in which fields it can operate are growing. The best automatic speech recognition technologies today are mainly based on - and made for - the English language. LÄS MER

  4. 23. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Hector Nyblom; [2022]
    Nyckelord :Automatic Speech Recognition; Deep Learning; Machine Learning; Natural Language Processing; Media Monitoring;

    Sammanfattning : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. LÄS MER

  5. 24. Automatisk taligenkänning som metod för att undersöka artikulationshastighet i svenska

    Kandidat-uppsats, Stockholms universitet/Institutionen för lingvistik

    Författare :Liv Martin Björkdahl; [2022]
    Nyckelord :ASR; automatic speech recognition; articulation rate; UID; dependency length; dependency minimization; information density; ASR; taligenkänning; artikulationshastighet; Wav2Vec 2.0; dependenslängd; korpusstudier; informationsdensitet; UID; dependenslängdsminimering;

    Sammanfattning : Den senaste tidens utveckling inom automatisk taligenkänning har lett till mindre resurskrävan-de och mer effektiva modeller. Detta innebär nya möjligheter för forskning kring spontant tal.I den här studien används Kungliga Bibliotekets svenska version av Wav2Vec 2. LÄS MER

  7. 25. Evaluation between Google's and Microsoft's automated speech recognition services regarding performance in Swedish

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Nils Sörby; [2022]
    Nyckelord :;

    Sammanfattning : This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the context of call center self-service systems, in Swedish. One of the ASR systems is provided by Google and the other is from Microsoft. LÄS MER