Essays about: "Hybrid Generative Model"

Showing result 1 - 5 of 6 essays containing the words Hybrid Generative Model.

  1. 1. Unsupervised 3D Human Pose Estimation

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

    Author : Sri Datta Budaraju; [2021]
    Keywords : Computer Vision; Projective Geometry; Deep Learning; Unsupervised Learning; 3D Human Pose Estimation; GAN; AutoEncoder; Hybrid Generative Model; Self Supervision;

    Abstract : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. READ MORE

  2. 2. Generating synthetic brain MR images using a hybrid combination of Noise-to-Image and Image-to-Image GANs

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Lennart Schilling; [2020]
    Keywords : Generative Adversarial Network; GAN;

    Abstract : Generative Adversarial Networks (GANs) have attracted much attention because of their ability to learn high-dimensional, realistic data distributions. In the field of medical imaging, they can be used to augment the often small image sets available. READ MORE

  3. 3. 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

  4. 4. Automatic Speech Recognition in Somali

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Naveen Gabriel; [2020]
    Keywords : automatic speech recognition; speaker adaptation; generative training; gaussian mixture model; kaldi; finite-state transducers;

    Abstract : The field of speech recognition during the last decade has left the research stage and found its way into the public market, and today, speech recognition software is ubiquitous around us. An automatic speech recognizer understands human speech and represents it as text. READ MORE

  5. 5. Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices

    University essay from KTH/Skolan för elektro- och systemteknik (EES)

    Author : Stefano Imoscopi; [2016]
    Keywords : ;

    Abstract : The aim of speaker recognition and veri cation is to identify people's identity from the characteristics of their voices (voice biometrics). Traditionally this technology has been employed mostly for security or authentication purposes, identi cation of employees/customers and criminal investigations. READ MORE