Extended maximum a posterior linear regression (EMAPLR) model adaptation for speech recognition. - Wu Chou; Olivier Siohan; Tor André Myrvoll; Chin-Hui Lee (INTERSPEECH, 2000)

Structural maximum a-posteriori linear regression for unsupervised speaker adaptation. - Tor André Myrvoll; Olivier Siohan; Chin-Hui Lee; Wu Chou (INTERSPEECH, 2000)

Fast adaptation using constrained affine transformations with hierarchical priors. - Tor André Myrvoll; Kuldip K. Paliwal; Torbjørn Svendsen (INTERSPEECH, 2001)

Bell labs approach to Aurora evaluation on connected digit recognition. - Jingdong Chen; Dimitris Dimitriadis; Hui Jiang 001; Qi Li; Tor André Myrvoll; Olivier Siohan; Frank K. Soong (INTERSPEECH, 2002)

Structural maximum a posteriori linear regression for fast HMM adaptation. - Olivier Siohan; Tor André Myrvoll; Chin-Hui Lee (Comput. Speech Lang., 2002)

Optimal clustering of multivariate normal distributions using divergence and its application to HMM adaptation. - Tor André Myrvoll; Frank K. Soong (ICASSP (1), 2003)

On divergence based clustering of normal distributions and its application to HMM adaptation. - Tor André Myrvoll; Frank K. Soong (INTERSPEECH, 2003)

Minimum mean square error filtering of noisy cepstral coefficients with applications to ASR. - Tor André Myrvoll; Satoshi Nakamura 001 (ICASSP (1), 2004)

Online minimum mean square error filtering of noisy cepstral coefficients using a sequential EM algorithm. - Tor André Myrvoll; Satoshi Nakamura 001 (INTERSPEECH, 2004)

Optimal Clustering and Non-Uniform Allocation of Gaussian Kernels in Scalar Dimension for HMM Compression. - Xiao-Bing Li; Frank K. Soong; Tor André Myrvoll; Ren-Hua Wang (ICASSP (1), 2005)

Online cepstral filtering using a sequential EM approach with Polyak averaging and feedback. - Tor André Myrvoll; Satoshi Nakamura 001 (ICASSP (1), 2005)

Joint Bayesian predictive classification and parallel model combination for robust speech recognition. - Svein Gunnar Pettersen; Magne Hallstein Johnsen; Tor André Myrvoll (INTERSPEECH, 2005)

On a greedy learning algorithm for dPLRM with applications to phonetic feature detection. - Tor André Myrvoll; Tomoko Matsui (INTERSPEECH, 2006)

N-Best Rescoring for Speech Recognition using Penalized Logistic Regression Machines with Garbage Class. - Øystein Birkenes; Tomoko Matsui; Kunio Tanabe; Tor André Myrvoll (ICASSP (4), 2007)

On multiuser MIMO capacity benefits in air-to-ground communication for air traffic management. - Jawad Rasool; Geir E. Øien; Jan Erik Håkegård; Tor André Myrvoll (ISWCS, 2009)

Penalized Logistic Regression With HMM Log-Likelihood Regressors for Speech Recognition. - Øystein Birkenes; Tomoko Matsui; Kunio Tanabe; Sabato Marco Siniscalchi; Tor André Myrvoll; Magne Hallstein Johnsen (IEEE Trans. Speech Audio Process., 2010)

Power control in HetNets and cognitive networks. - Jan Erik Håkegård; Arne Lie; Tor André Myrvoll (ISCIT, 2012)

Dynamic Spectrum Access in realistic environments using reinforcement learning. - Tor André Myrvoll; Jan Erik Håkegård (ISCIT, 2012)

Communications meets copula modeling: Non-standard dependence features in wireless fading channels. - Gareth W. Peters; Tor André Myrvoll; Tomoko Matsui; Ido Nevat; François Septier (GlobalSIP, 2014)

Experimental performance evaluation of a 5G spectrum sharing scenario based on field-measured channels. - Oriol Font-Bach; Nikolaos G. Bartzoudis; David López Bueno; Evgenii Vinogradov; Miquel Payaró; Claude Oestges; Tor André Myrvoll; Vidar Ringset (PIMRC, 2015)

When SDR meets a 5G candidate waveform : Agile use of fragmented spectrum and interference protection in PMR networks. - Oriol Font-Bach; Nikolaos G. Bartzoudis; Xavier Mestre; David López Bueno; Philippe Mege; Laurent Martinod; Vidar Ringset; Tor André Myrvoll (IEEE Wirel. Commun., 2015)

mm-Wave channel sounding using a fully programmable SoC. - Jan Erik Håkegård; Helge Rustad; Isabelle Tardy; Tor André Myrvoll; Vidar Ringset (PIMRC, 2016)

Counting public transport passenger using WiFi signatures of mobile devices. - Tor André Myrvoll; Jan Erik Håkegård; Tomoko Matsui; François Septier (ITSC, 2017)

Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data. - Jan Erik Håkegård; Tor André Myrvoll; Tor Rune Skoglund (ITSC, 2018)

Eddy Current duplex coating thickness Non-Destructive Evaluation augmented by VNA scattering parameter theory and Machine Learning. - Karsten Husby; Tor André Myrvoll; Ole Øystein Knudsen (SAS, 2019)

Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech. - Femke B. Gelderblom; Yi Liu; Johannes Kvam; Tor André Myrvoll (ICASSP, 2021)

Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation. - Femke B. Gelderblom; Tor André Myrvoll (MLSP, 2021)

Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape. - Alexandra Jarna Ganerød; Erin Lindsay; Ola Fredin; Tor André Myrvoll; Steinar Nordal; Jan Ketil Rød (Remote. Sens., 2023)

Solving stochastic climate-economy models: A deep least-squares Monte Carlo approach. - Aleksandar Arandjelovic; Pavel V. Shevchenko; Tomoko Matsui; Daisuke Murakami; Tor André Myrvoll (CoRR, 2024)

On the Predictive Power of Objective Intelligibility Metrics for the Subjective Performance of Deep Complex Convolutional Recurrent Speech Enhancement Networks. - Femke B. Gelderblom; Tron V. Tronstad; Torbjørn Svendsen; Tor André Myrvoll (IEEE ACM Trans. Audio Speech Lang. Process., 2024)