Essays about: "Gaussian mixture models"

Showing result 21 - 25 of 57 essays containing the words Gaussian mixture models.

  1. 21. Normalizing Flow based Hidden Markov Models for Phone Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anubhab Ghosh; [2020]
    Keywords : Phone recognition; generative learning; Normalizing flows; Decision fusion; Speech recognition;

    Abstract : The task of Phone recognition is a fundamental task in Speech recognition and often serves a critical role in bench-marking purposes. Researchers have used a variety of models used in the past to address this task, using both generative and discriminative learning approaches. READ MORE

  3. 22. Automatic Speech Recognition Model for Swedish using Kaldi

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yihan Wang; [2020]
    Keywords : Speech recognition; Kaldi; Mel-frequency cepstral coefficient; Perceptual linear predictive; Speaker adaptive training; Weight Finite State Transducers; Taligenkänning; Kaldi; Cefstralskoefficient för Mel-Frekvens; Perceptuell linjär prediktiv; Uppladdning av högtalaren; Viktfinitomvandlare;

    Abstract : With the development of intelligent era, speech recognition has been a hottopic. Although many automatic speech recognition(ASR) tools have beenput into the market, a considerable number of them do not support Swedishbecause of its small number. READ MORE

  4. 23. Adversarial Attacks against Behavioral-based Continuous Authentication

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Maciej Kufel; [2020]
    Keywords : ;

    Abstract : Online identity theft and session hijacking attacks have become a major hazardin recent years and are expected to become more frequent in the years to come.Unlike the traditional authentication methods, continuous authentication based onthe characterization of user behavior in interactions with the computer system allowsto continuously verify the user’s identity and mitigates the risk of such forms ofmalicious access. READ MORE

  5. 24. Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market

    University essay from Lunds universitet/Matematisk statistik

    Author : Karl Tengelin; [2020]
    Keywords : Tick data; Support-and resistance levels; Clustering methods; Gaussian mixture model; Kmeans; EUR-USD exchange rates; Clustering performance metrics; Market activity; Mathematics and Statistics;

    Abstract : Our aim is to use clustering algorithms in order to compute support and resistance levels within an intra-day trading setting. To achieve this we use a tick data set from the EUR-USD exchange market during 2019 as a measure of market activity. READ MORE

  6. 25. Understanding people movement and detecting anomalies using probabilistic generative models

    University essay from KTH/Matematisk statistik

    Author : Agnes Hansson; [2020]
    Keywords : Machine Learning; Unsupervised Learning; Generative Models; Auto-encoders; Gaussian Mixture Models; Maskininlärning; Oövervakad inlärning; generativa modeller; auto-encoders; gaussiska mixtur-modeller;

    Abstract : As intelligent access solutions begin to dominate the world, the statistical learning methods to answer for the behavior of these needs attention, as there is no clear answer to how an algorithm could learn and predict exactly how people move. This project aims at investigating if, with the help of unsupervised learning methods, it is possible to distinguish anomalies from normal events in an access system, and if the most probable choice of cylinder to be unlocked by a user can be calculated. READ MORE