Sökning: "Speech Learning Model"

Visar resultat 16 - 20 av 100 uppsatser innehållade orden Speech Learning Model.

  1. 16. CLASSIFYING ANXIETY BASED ON A VOICERECORDING USING LEARNING ALGORITHMS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oscar Sherlock; Olle Rönnbäck; [2022]
    Nyckelord :ANN; CNN; Machine learning; Deep learning; ML; DL; Voice recognition; Anxiety;

    Sammanfattning : Anxiety is becoming more and more common, seeking help to evaluate your anxiety canfirst of all take a long time, secondly, many of the tests are self-report assessments that could cause incorrect results. It has been shown there are several voice characteristics that are affected in people with anxiety. LÄS MER

  3. 17. Evaluating the robustness of DistilBERT to data shift in toxicity detection

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

    Författare :Caroline Larsen; [2022]
    Nyckelord :Machine learning; Natural Language Processing; DistilBERT; Toxicity Detection; Profanity Detection; Hate Speech Identification; Text preprocessing; Maskininlärning; naturligtspråkbehandling; DistilBERT; identifiering av kränkande språk; identifiering av svordomar; textbehandling;

    Sammanfattning : With the rise of social media, cyberbullying and online spread of hate have become serious problems with devastating consequences. Mentimeter is an interactive presentation tool enabling the presentation audience to participate by typing their own answers to questions asked by the presenter. LÄS MER

  4. 18. Predicting Political Party Affiliation in the Swedish Parliament using Natural Language Processing

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Johannes Zetterberg; [2022]
    Nyckelord :Machine learning; support vector machines; naive Bayes; transformer; BERT; text classification; NLP;

    Sammanfattning : Text classification is a fundamental part of natural language processing. In this thesis, methods for text classification are used in an attempt to predict the political party affiliation of members of parliament (MPs). LÄS MER

  5. 19. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER

  7. 20. Optimizing L2-regularization for Binary Classification Tasks

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Oskar Bolinder; [2022]
    Nyckelord :Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

    Sammanfattning : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. LÄS MER