Blar i NTNU Open på forfatter "Myrvoll, Tor Andre"
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A Framework for Speech Recognition using Logistic Regression
Birkenes, Øystein (Doktoravhandlinger ved NTNU, 1503-8181; 2007:165, Doctoral thesis, 2007)Although discriminative approaches like the support vector machine or logistic regression have had great success in many pattern recognition application, they have only achieved limited success in speech recognition. Two ... -
A Survey of the Federated Learning and Differential Privacy Techniques
Haug, Anna Maria Dall Grimsmo (Master thesis, 2022)For å kunne bruke et datasett som inneholder sensitiv informasjon, må det være sikret og beskyttet. Federated learning er en metode innen maskinlæring som prøver å løse dette problemet. Ved å bringe en global modell til ... -
Automated Mapping and Change Detection of Rivers and Inland Water Bodies by Semantic Segmentation of SAR Imagery using Deep Learning
Askevold, Renate; Vågen, Mikael (Master thesis, 2022)Målet med denne oppgaven er å detektere utstrekninger av vannforekomster og elver i Norge ved semantisk segmentering av Syntetisk Apertur-Radar (SAR) satellittbilder. To dype nevrale nettverksarkitekturer er implementert ... -
Classification of noise relative to speech
Vadla, Marte Haavik (Master thesis, 2018)The implementation of the source localization in MATLAB showed satisfactory results, where the system was able to determine from which directions sound sources were coming from. However, the system only found the strongest ... -
Comparison of Wavelet Transforms and STFTs in Classification of Outdoor Noise
Kvalnes, Håkon Skjetne; Lysø, Magnus Stave (Master thesis, 2020)Denne masteroppgaven presenterer en sammenligning mellom to tid-frekvens transformasjoner ved å bruke dem i et klassifikasjonsproblem med et konvolusjonalt neuralt nettverk (CNN). De aktuelle transformasjonene er wavelet ... -
Comparison of Wavelet Transforms andSTFTs in Classification of Outdoor Noise
Lysø, Magnus Stave; Kvalnes, Håkon Skjetne (Master thesis, 2020)Denne masteroppgaven presenterer en sammenligning mellom to tid-frekvens transformasjo-ner ved å bruke dem i et klassifikasjonsproblem med et konvolusjonalt neuralt nettverk (CNN).De aktuelle transformasjonene er wavelet ... -
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation
Gelderblom, Femke B.; Myrvoll, Tor Andre (Chapter, 2021)This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ... -
Evaluating Performance Metrics for Deep Neural Network-based Speech Enhancement Systems
Gelderblom, Femke B. (Doctoral theses at NTNU;2023:53, Doctoral thesis, 2023)A recurring challenge for speech enhancement (SE) systems, is that removing/reducing noise and reverberance does not necessarily increase the intelligibility or the quality of the speech for human listeners. Deep neural ... -
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
Ganerød, Alexandra Jarna; Lindsay, Erin Rose Pilaar; Fredin, Ola; Myrvoll, Tor Andre; Nordal, Steinar; Rød, Jan Ketil (Peer reviewed; Journal article, 2023)Landslide risk mitigation is limited by data scarcity; however, this could be improved using continuous landslide detection systems. To investigate which image types and machine learning models are most useful for landslide ... -
SYNTHETIC DATA FOR DNN-BASED DOA ESTIMATION OF INDOOR SPEECH
Gelderblom, Femke B.; Kvam, Johannes; Liu, Yi; Myrvoll, Tor Andre (Chapter, 2021)This paper investigates the use of different room impulse response (RIR) simulation methods for synthesizing training data for deep neural network-based direction of arrival (DOA) estimation of speech in reverberant rooms. ...