Franz Pernkopf

Orcid: 0000-0002-6356-3367

Affiliations:
  • Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria


According to our database1, Franz Pernkopf authored at least 175 papers between 2001 and 2024.

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Bibliography

2024
Resource-Efficient Neural Networks for Embedded Systems.
J. Mach. Learn. Res., 2024

Robustness of Explainable Artificial Intelligence in Industrial Process Modelling.
CoRR, 2024

On the Convexity and Reliability of the Bethe Free Energy Approximation.
CoRR, 2024

Rao-Blackwellising Bayesian Causal Inference.
CoRR, 2024

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar.
CoRR, 2024

Data-Scarce Condition Modeling Requires Model-Based Prior Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Self-Guided Belief Propagation - A Homotopy Continuation Method.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation.
CoRR, 2023

Reliable Belief Propagation: Recent Theoretical and Practical Advances.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Self-Attention for Enhanced OAMP Detection in MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Lung Sound Classification Using Co-Tuning and Stochastic Normalization.
IEEE Trans. Biomed. Eng., 2022

Blind Speech Separation and Dereverberation using neural beamforming.
Speech Commun., 2022

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities.
CoRR, 2022

Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Active Bayesian Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Homophone Disambiguation Profits from Durational Information.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

End-to-End Keyword Spotting Using Neural Architecture Search and Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Example or Prototype? Learning Concept-Based Explanations in Time-Series.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation.
IEEE J. Sel. Top. Signal Process., 2021

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks.
CoRR, 2021

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation.
CoRR, 2021

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks.
CoRR, 2021

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Acoustic Echo Cancellation with Cross-Domain Learning.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Autonomous Robot for Measuring Room Impulse Responses.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences.
IEEE Trans. Instrum. Meas., 2020

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals.
CoRR, 2020

Quantized Neural Networks for Radar Interference Mitigation.
CoRR, 2020

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement.
CoRR, 2020

Wasserstein Routed Capsule Networks.
CoRR, 2020

Resource-Efficient Neural Networks for Embedded Systems.
CoRR, 2020

Multi-channel lung sound classification with convolutional recurrent neural networks.
Comput. Biol. Medicine, 2020

Differentiable TAN Structure Learning for Bayesian Network Classifiers.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Parameterized Structured Pruning for Deep Neural Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Nonlinear Residual Echo Suppression Using a Recurrent Neural Network.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Structured Mixtures of Gaussian Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version).
CoRR, 2019

Optimisation of Overparametrized Sum-Product Networks.
CoRR, 2019

Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices.
Biomed. Signal Process. Control., 2019

Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference?
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Predicting and Testing Latencies with Deep Learning: An IoT Case Study.
Proceedings of the Tests and Proofs - 13th International Conference, 2019

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning.
Proceedings of the Testing Software and Systems, 2019

Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Bayesian Learning of Sum-Product Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Recurrent Dilated DenseNets for a Time-Series Segmentation Task.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Deep Complex-valued Neural Beamformers.
Proceedings of the IEEE International Conference on Acoustics, 2019

Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks.
IEEE Trans. Biomed. Eng., 2018

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Hybrid generative-discriminative training of Gaussian mixture models.
Pattern Recognit. Lett., 2018

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Efficient and Robust Machine Learning for Real-World Systems.
CoRR, 2018

Self-Guided Belief Propagation - A Homotopy Continuation Method.
CoRR, 2018

Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement.
CoRR, 2018

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks.
CoRR, 2018

Sum-Product Networks for Sequence Labeling.
CoRR, 2018

Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering.
CoRR, 2018

Towards Efficient Forward Propagation on Resource-Constrained Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017
On the Latent Variable Interpretation in Sum-Product Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Fundamental frequency tracking in diplophonic voices.
Biomed. Signal Process. Control., 2017

Safe Semi-Supervised Learning of Sum-Product Networks.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Frame and Segment Level Recurrent Neural Networks for Phone Classification.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Eigenvector-Based Speech Mask Estimation Using Logistic Regression.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

DNN-based speech mask estimation for eigenvector beamforming.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Respiratory airflow estimation from lung sounds based on regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Maximum margin hidden Markov models for sequence classification.
Pattern Recognit. Lett., 2016

Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Phase-Aware Signal Processing for Automatic Speech Recognition.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Gated Recurrent Networks applied to Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

A Robust Multichannel Lung Sound Recording Device.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Representation Learning for Single-Channel Source Separation and Bandwidth Extension.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

On Bayesian Network Classifiers with Reduced Precision Parameters.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Parameter Learning of Bayesian Network Classifiers Under Computational Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Structured Regularizer for Neural Higher-Order Sequence Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Message Scheduling Methods for Belief Propagation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

On representation learning for artificial bandwidth extension.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Neural higher-order factors in conditional random fields for phoneme classification.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Representation models in single channel source separation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

On Theoretical Properties of Sum-Product Networks.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Detection of negative emotions in speech signals using bags-of-audio-words.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014
Integer Bayesian Network Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

General Stochastic Networks for Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Single channel source separation with general stochastic networks.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Self-adaption in single-channel source separation.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Blind source extraction based on a direction-dependent a-priori SNR.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Modeling speech with sum-product networks: Application to bandwidth extension.
Proceedings of the IEEE International Conference on Acoustics, 2014

Wake-up-word spotting for mobile systems.
Proceedings of the 22nd European Signal Processing Conference, 2014

A multi-channel postfilter based on the diffuse noise sound field.
Proceedings of the 22nd European Signal Processing Conference, 2014

Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference.
IEEE Trans. Speech Audio Process., 2013

Stochastic margin-based structure learning of Bayesian network classifiers.
Pattern Recognit., 2013

Greedy Part-Wise Learning of Sum-Product Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

The Most Generative Maximum Margin Bayesian Networks.
Proceedings of the 30th International Conference on Machine Learning, 2013

Model adaptation of factorial HMMS for multipitch tracking.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bounds for Bayesian network classifiers with reduced precision parameters.
Proceedings of the IEEE International Conference on Acoustics, 2013

Generalization of pre-image iterations for speech enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2013

On the Asymptotic Optimality of Maximum Margin Bayesian Networks.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Maximum Margin Bayesian Network Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Sparse nonnegative matrix factorization with ℓ<sup>0</sup>-constraints.
Neurocomputing, 2012

Bayesian Network Classifiers with Reduced Precision Parameters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Handling missing features in maximum margin Bayesian network classifiers.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone.
Proceedings of the IWAENC 2012 - International Workshop on Acoustic Signal Enhancement, Proceedings, RWTH Aachen University, Germany, September 4th, 2012

Convex Combinations of Maximum Margin Bayesian Network Classifiers.
Proceedings of the ICPRAM 2012, 2012

Exact Maximum Margin Structure Learning of Bayesian Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012

On linear and mixmax interaction models for single channel source separation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Speech enhancement using pre-image iterations.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Suppression of musical noise in enhanced speech using pre-image iterations.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models.
IEEE Trans. Speech Audio Process., 2011

Source-Filter-Based Single-Channel Speech Separation Using Pitch Information.
IEEE Trans. Speech Audio Process., 2011

Semantic and phonetic automatic reconstruction of medical dictations.
Comput. Speech Lang., 2011

The Pre-image Problem and Kernel PCA for Speech Enhancement.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

EM-Based Gain Adaptation for Probabilistic Multipitch Tracking.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Kernel PCA for Speech Enhancement.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Efficient implementation of probabilistic multi-pitch tracking.
Proceedings of the IEEE International Conference on Acoustics, 2011

Maximum margin structure learning of Bayesian network classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2011

Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement.
IEEE Trans. Speech Audio Process., 2010

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers.
J. Mach. Learn. Res., 2010

Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A factorial sparse coder model for single channel source separation.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Single Channel Speech Separation Using Source-Filter Representation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A mixture maximization approach to multipitch tracking with factorial hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2010

On optimizing the computational complexity for VQ-based single channel source separation.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Broad phonetic classification using discriminative Bayesian networks.
Speech Commun., 2009

On Discriminative Parameter Learning of Bayesian Network Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Wavelet-based speaker change detection in single channel speech data.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Speech enhancement based on joint time-frequency segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Towards source-filter based single sensor speech separation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Effective metric-based speaker segmentation in the frequency domain.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Order-based Discriminative Structure Learning for Bayesian Network Classifiers.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Multipitch tracking using a factorial hidden Markov model.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Voice activity detection algorithms using subband power distance feature for noisy environments.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Automatic phonetics-driven reconstruction of medical dictations on multiple levels of segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

Joint Position-Pitch Tracking for 2-Channel Audio.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2007

Discriminative learning of bayesian network classifiers.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
Bayesian networks for phonetic classification using time-scale features.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

2005
Bayesian network classifiers versus selective k-NN classifier.
Pattern Recognit., 2005

Genetic-Based EM Algorithm for Learning Gaussian Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

3D surface analysis using coupled HMMs.
Mach. Vis. Appl., 2005

3D surface acquisition and reconstruction for inspection of raw steel products.
Comput. Ind., 2005

Discriminative versus generative parameter and structure learning of Bayesian network classifiers.
Proceedings of the Machine Learning, 2005

On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Detection of surface defects on raw steel blocks using Bayesian network classifiers.
Pattern Anal. Appl., 2004

3D Surface Inspection using Coupled HMMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Prosody-based recognition of spoken German varieties.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Floating search algorithm for structure learning of Bayesian network classifiers.
Pattern Recognit. Lett., 2003

2002
Visual Inspection of Machined Metallic High-Precision Surfaces.
EURASIP J. Adv. Signal Process., 2002

2001
Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding.
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001


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