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ORCIDTor André Myrvoll
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2020 – today
- 2024
[j5]Femke B. Gelderblom
, Tron V. Tronstad, Torbjørn Svendsen, Tor André Myrvoll:
On the Predictive Power of Objective Intelligibility Metrics for the Subjective Performance of Deep Complex Convolutional Recurrent Speech Enhancement Networks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 215-226 (2024)- [i1]Aleksandar Arandjelovic, Pavel V. Shevchenko, Tomoko Matsui, Daisuke Murakami, Tor André Myrvoll:
Solving stochastic climate-economy models: A deep least-squares Monte Carlo approach. CoRR abs/2408.09642 (2024) - 2023
- [j4]Alexandra Jarna Ganerød, Erin Lindsay, Ola Fredin, Tor André Myrvoll, Steinar Nordal, Jan Ketil Rød:
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape. Remote. Sens. 15(4): 895 (2023) - 2021
- [c24]Femke B. Gelderblom, Yi Liu, Johannes Kvam, Tor André Myrvoll:
Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech. ICASSP 2021: 4390-4394 - [c23]Femke B. Gelderblom, Tor André Myrvoll:
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation. MLSP 2021: 1-6
2010 – 2019
- 2019
- [c22]Karsten Husby, Tor André Myrvoll, Ole Øystein Knudsen:
Eddy Current duplex coating thickness Non-Destructive Evaluation augmented by VNA scattering parameter theory and Machine Learning. SAS 2019: 1-6 - 2018
- [c21]Jan Erik Håkegård, Tor André Myrvoll, Tor Rune Skoglund:
Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data. ITSC 2018: 1005-1010 - 2017
- [c20]Tor André Myrvoll, Jan Erik Håkegård, Tomoko Matsui, François Septier:
Counting public transport passenger using WiFi signatures of mobile devices. ITSC 2017: 1-6 - 2016
- [c19]Jan Erik Håkegård, Helge Rustad, Isabelle Tardy, Tor André Myrvoll, Vidar Ringset:
mm-Wave channel sounding using a fully programmable SoC. PIMRC 2016: 1-6 - 2015
- [j3]Oriol Font-Bach, Nikolaos G. Bartzoudis, Xavier Mestre, David López Bueno, Philippe Mege, Laurent Martinod, Vidar Ringset, Tor André Myrvoll:
When SDR meets a 5G candidate waveform : Agile use of fragmented spectrum and interference protection in PMR networks. IEEE Wirel. Commun. 22(6): 56-66 (2015) - [c18]Oriol Font-Bach, Nikolaos G. Bartzoudis, David López Bueno, Evgenii Vinogradov, Miquel Payaró, Claude Oestges, Tor André Myrvoll, Vidar Ringset:
Experimental performance evaluation of a 5G spectrum sharing scenario based on field-measured channels. PIMRC 2015: 856-861 - 2014
- [c17]Gareth W. Peters, Tor André Myrvoll, Tomoko Matsui, Ido Nevat, François Septier:
Communications meets copula modeling: Non-standard dependence features in wireless fading channels. GlobalSIP 2014: 1224-1228 - 2012
- [c16]Tor André Myrvoll, Jan Erik Håkegård:
Dynamic Spectrum Access in realistic environments using reinforcement learning. ISCIT 2012: 465-470 - [c15]Jan Erik Håkegård, Arne Lie, Tor André Myrvoll:
Power control in HetNets and cognitive networks. ISCIT 2012: 568-573 - 2010
- [j2]Øystein Birkenes, Tomoko Matsui, Kunio Tanabe, Sabato Marco Siniscalchi, Tor André Myrvoll, Magne Hallstein Johnsen:
Penalized Logistic Regression With HMM Log-Likelihood Regressors for Speech Recognition. IEEE Trans. Speech Audio Process. 18(6): 1440-1454 (2010)
2000 – 2009
- 2009
- [c14]Jawad Rasool, Geir E. Øien, Jan Erik Håkegård, Tor André Myrvoll:
On multiuser MIMO capacity benefits in air-to-ground communication for air traffic management. ISWCS 2009: 458-462 - 2007
- [c13]Øystein Birkenes, Tomoko Matsui, Kunio Tanabe, Tor André Myrvoll:
N-Best Rescoring for Speech Recognition using Penalized Logistic Regression Machines with Garbage Class. ICASSP (4) 2007: 449-452 - 2006
- [c12]Tor André Myrvoll, Tomoko Matsui:
On a greedy learning algorithm for dPLRM with applications to phonetic feature detection. INTERSPEECH 2006 - 2005
- [c11]Tor André Myrvoll, Satoshi Nakamura:
Online cepstral filtering using a sequential EM approach with Polyak averaging and feedback. ICASSP (1) 2005: 261-264 - [c10]Xiao-Bing Li, Frank K. Soong, Tor André Myrvoll, Ren-Hua Wang:
Optimal Clustering and Non-Uniform Allocation of Gaussian Kernels in Scalar Dimension for HMM Compression. ICASSP (1) 2005: 669-672 - [c9]Svein Gunnar Pettersen, Magne Hallstein Johnsen, Tor André Myrvoll:
Joint Bayesian predictive classification and parallel model combination for robust speech recognition. INTERSPEECH 2005: 373-376 - 2004
- [c8]Tor André Myrvoll, Satoshi Nakamura:
Minimum mean square error filtering of noisy cepstral coefficients with applications to ASR. ICASSP (1) 2004: 977-980 - [c7]Tor André Myrvoll, Satoshi Nakamura:
Online minimum mean square error filtering of noisy cepstral coefficients using a sequential EM algorithm. INTERSPEECH 2004: 117-120 - 2003
- [c6]Tor André Myrvoll, Frank K. Soong:
Optimal clustering of multivariate normal distributions using divergence and its application to HMM adaptation. ICASSP (1) 2003: 552-555 - [c5]Tor André Myrvoll, Frank K. Soong:
On divergence based clustering of normal distributions and its application to HMM adaptation. INTERSPEECH 2003: 1517-1520 - 2002
- [j1]Olivier Siohan, Tor André Myrvoll, Chin-Hui Lee:
Structural maximum a posteriori linear regression for fast HMM adaptation. Comput. Speech Lang. 16(1): 5-24 (2002) - [c4]Jingdong Chen, Dimitris Dimitriadis, Hui Jiang, Qi Li, Tor André Myrvoll, Olivier Siohan, Frank K. Soong:
Bell labs approach to Aurora evaluation on connected digit recognition. INTERSPEECH 2002: 229-232 - 2001
- [c3]Tor André Myrvoll, Kuldip K. Paliwal, Torbjørn Svendsen:
Fast adaptation using constrained affine transformations with hierarchical priors. INTERSPEECH 2001: 1233-1236 - 2000
- [c2]Tor André Myrvoll, Olivier Siohan, Chin-Hui Lee, Wu Chou:
Structural maximum a-posteriori linear regression for unsupervised speaker adaptation. INTERSPEECH 2000: 540-543 - [c1]Wu Chou, Olivier Siohan, Tor André Myrvoll, Chin-Hui Lee:
Extended maximum a posterior linear regression (EMAPLR) model adaptation for speech recognition. INTERSPEECH 2000: 616-619
Coauthor Index
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last updated on 2024-09-30 00:08 CEST by the dblp team
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