Sökning: "Automatic language identification"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Automatic language identification.

  1. 1. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility

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

    Författare :Erik Henriksson; [2023]
    Nyckelord :Automatic Speech Recognition; Natural Language Processing; Speech Technology; Speech Quality Assessment; Text-To-Speech; Taligenkänning; Språkteknologi; Talkvalitetsbedömning; Talsyntes;

    Sammanfattning : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. LÄS MER

  3. 2. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Emil Graichen; [2023]
    Nyckelord :automatic text simplification; lexical simplification; Swedish; BERT; GPT-3; evaluation dataset; synonymy;

    Sammanfattning : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. LÄS MER

  4. 3. Exploring Automatic Synonym Generation for Lexical Simplification of Swedish Electronic Health Records

    Master-uppsats, Linköpings universitet/Institutionen för hälsa, medicin och vård

    Författare :Anna Jänich; [2023]
    Nyckelord :Lexical Simplification; EHR; Electronic Health Records; Swedish EHRs; patient records; complex medical terminology; synonym generation; synonym replacement; Word2Vec; BERT; NLP; ML;

    Sammanfattning : Electronic health records (EHRs) are used in Sweden's healthcare systems to store patients' medical information. Patients in Sweden have the right to access and read their health records. Unfortunately, the language used in EHRs is very complex and presents a challenge for readers who lack medical knowledge. LÄS MER

  5. 4. Application of formal verification and validation on modern multi-functional signalling system

    Master-uppsats, KTH/Transportplanering

    Författare :Shamsul Arefin; [2022]
    Nyckelord :;

    Sammanfattning : Demand for rail transport is increasing day by day. Rail is popular in public transport due to punctuality, regularity, and safety. However, we hear daily that rail traffic still has many problems to solve about incidents, near misses, and signal errors. LÄS MER

  7. 5. Construction of a machine learning training pipeline for merging AIS data with external datasources

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sami Said Yahya; [2022]
    Nyckelord :AI; Machine Learning; Deep learning; AIS; anomaly detection; RNN; Maritime Traffic;

    Sammanfattning : Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issues hasbeen trained predominately on single data sources such as vessel positioning data. LÄS MER