Signal Processing and Speech Communication Laboratory
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Franz Pernkopf

Room number
IDEG080
Telephone number
  • office: +43 (316) 873 - 4436
Position
Associate Professor
Email
pernkopf@tugraz.at
Research interests

His research interests include machine learning, discriminative learning, graphical models, feature selection, finite mixture models, and image- and speech processing applications.

Franz Pernkopf received his MSc (Dipl. Ing.) degree in Electrical Engineering at Graz University of Technology, Austria, in summer 1999. He earned a PhD degree from the University of Leoben, Austria, in 2002. In 2002 he was awarded the Erwin Schrödinger Fellowship. He was a Research Associate in the Department of Electrical Engineering at the University of Washington, Seattle, from 2004 to 2006. Currently, he is Associate Professor at the Laboratory of Signal Processing and Speech Communication, Graz University of Technology, Austria. Franz Pernkopf is one of the founder of the consulting company Empiric for intelligent data processing (www.empiric.at).

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Research Programs
Research Topics
Research Projects
Courses
Student Projects
PhD Theses
Publications
  • Article Lammer G., Lanzenberger R., Rom A., Hanna A., Forrer M., Feuerstein M., Pernkopf F. & Mutsam N. (2018) Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior. in Iron & Steel Technology, 15(9), p. 52-60. [more info]
  • Poster Nguyen T. & Pernkopf F. (2018) Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters.. [more info]
  • Article Aichinger P., Schoentgen J. & Pernkopf F. (2018) Detection of Extra Pulses in Synthesized Glottal Area Waveforms of Dysphonic Voices. in Biomedical signal processing and control, 50. [more info]
  • Article Messner E., Zöhrer M. & Pernkopf F. (2018) Heart Sound Segmentation - An Event Detection Approach using Deep Recurrent Neural Networks. in IEEE transactions on biomedical engineering, 65(9). [more info]
  • Article Ratajczak M., Tschiatschek S. & Pernkopf F. (2018) Sum-Product Networks for Structured Prediction. in arXiv.org e-Print archive. [more info]
  • Conference contribution Trapp M., Peharz R., Rassmusen C. & Pernkopf F. (2018) Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. in International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models. [more info]
  • Conference contribution Nguyen T. & Pernkopf F. (2018) Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters. in Workshop on Detection and Classification of Acoustic Scenes and Events. [more info]
  • Conference contribution Harb R. & Pernkopf F. (2018) Sound Event Detection Using Weakly Labeled Semi-Supervised Data with GCRNNs, VAT, and self-adaptive label refinement. in Workshop on Detection and Classification of Acoustic Scenes and Events. [more info]
  • Conference contribution Schindler G., Zöhrer M., Pernkopf F. & Fröning H. (2018) Towards Efficient Forward Propagation on Resource-Constrained Systems. in European Conference on Machine Learning (ECML). [more info]
  • Conference contribution Aichinger P., Roesner I., Pernkopf F. & Schoentgen J. (2018) Auditory Discrimination of Different Types of Sonified Synthesized Glottal Area Waveforms. in International Conference on Voice Physiology and Biomechanics (ICVPB). [more info]
  • Conference contribution Schrank T. & Pernkopf F. (2018) Automatic clustering of a network protocol with weakly-supervised clustering. in arXiv.org; https://arxiv.org/abs/1806.00981. [more info]
  • Conference contribution Zöhrer M., Pfeifenberger L., Schnindler G., Fröning H. & Pernkopf F. (2018) Resource Efficient Deep Eigenvector Beamforming. in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 3354-3358). [more info] [doi]
  • Article Roth W., Peharz R., Tschiatschek S. & Pernkopf F. (2018) Hybrid generative-discriminative training of Gaussian mixture models. in Pattern recognition letters, 112, p. 131-137. [more info] [doi]
  • Conference contribution Messner E., Fediuk M., Swatek P., Scheidl S., Smolle-Juttner F., Olschewski H. & Pernkopf F. (2018) Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (pp. 356-359). [more info] [doi]
  • Article Roth W. & Pernkopf F. (2018) Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. in IEEE Transactions on Pattern Analysis and Machine Intelligence. [more info] [doi]
  • Article Knoll C., Chen T., Mehta D. & Pernkopf F. (2018) Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9), p. 2124-2136. [more info] [doi]
  • Article Krieber M., Bartl-Pokorny K., Pokorny F., Zhang D., Landerl K., Körner C., Pernkopf F., Pock T., Einspieler C. & Marschik P. (2017) Eye Movements during silent and oral reading in a regular orthography. in PLoS ONE, 12(2). [more info] [doi]
  • Article Lammer G., Lanzenberger R., Rom A., Hanna A., Forrer M., Feuerstein M., Pernkopf F. & Mutsam N. (2017) Digital Refractory Age. in Bulletin, the Journal of Refractory Innovations / Steel & Industrial Edition, 2017(1), p. 12-20. [more info]
  • Conference contribution Aichinger P., Roesner I., Schöntgen J. & Pernkopf F. (2017) Modelling of Random Extra Pulses During Quasi-Closed Glottal Cycle Phases. in MAVEBA. [more info]
  • Conference contribution Trapp M., Madl T., Peharz R., Pernkopf F. & Trappl R. (2017) Safe Semi-Supervised Learning of Sum-Product Networks. in Uncertainty in Artificial Intelligence (UAI). [more info]
  • Conference contribution Pfeifenberger L., Zöhrer M. & Pernkopf F. (2017) Eigenvector-based Speech Mask Estimation using a Logistic Regression for Multi-Channel Speech Enhancement. in Interspeech. [more info]
  • Conference contribution Ratajczak M., Tschiatschek S. & Pernkopf F. (2017) Frame and Segment Level Recurrent Neural Networks for Phone Classification. in Interspeech. [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2017) Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. in Interspeech. [more info]
  • Conference contribution Lammer G., Lanzenberger R., Rom A., Hanna A., Forrer M., Feuerstein M., Pernkopf F. & Mutsam N. (2017) Advanced Data Mining for Process Optimizations and Use of A.I. to Predict Refractory Wear and to Analyse Refractory Behavior. in 2017 AISTech Conference Proceedings. [more info]
  • Conference contribution Pfeifenberger L., Zöhrer M. & Pernkopf F. (2017) DNN-based Speech Mask Estimation for Eigenvector Beamforming. in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [more info]
  • Conference contribution Messner E., Hagmüller M., Schuppler B. & Pernkopf F. (2017) Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds. in BIOSIGNALS. [more info]
  • Conference contribution Knoll C. & Pernkopf F. (2017) On Loopy Belief Propagation – Local Stability Analysis for Non-Vanishing Fields. in Uncertainty in Artificial Intelligence. [more info]
  • Article Aichinger P., Hagmüller M., Schneider-Stickler B., Schoentgen J. & Pernkopf F. (2017) Tracking of Multiple Fundamental Frequencies in Diplophonic Voices. in IEEE/ACM Transactions on Audio Speech and Language Processing, 26(2), p. 330-341. [more info] [doi]
  • Conference contribution Messner E., Hagmüller M., Swatek P., Smolle-Juttner F. & Pernkopf F. (2017) Respiratory airflow estimation from lung sounds based on regression. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 1123-1127). [more info] [doi]
  • Article Peharz R., Gens R., Pernkopf F. & Domingos P. (2017) On the Latent Variable Interpretation in Sum-Product Networks. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(10), p. 2030-2044. [more info]
  • Conference contribution Schrank T., Pfeifenberger L., Zöhrer M., Stahl J., Mowlaee Beikzadehmahaleh P. & Pernkopf F. (2016) Deep Beamforming and Data Augmentation for Robust Speech Recognition: Results of the 4th CHiME Challenge. in CHiME 4 Workshop. [more info]
  • Conference contribution Knoll C., Pernkopf F., Mehta D. & Chen T. (2016) Fixed Points Solutions of Belief Propagation. in Neural Information Processing Systems (NIPS) workshop. [more info]
  • Article Aichinger P., Hagmüller M., Roesner I., Schneider-Stickler B., Schoentgen J. & Pernkopf F. (2016) Fundamental Frequency Tracking in Diplophonic Voices. in Biomedical signal processing and control. [more info] [doi]
  • Conference contribution Pokorny F., Peharz R., Roth W., Zöhrer M., Pernkopf F., Marschik P. & Schuller B. (2016) Manual Versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. in Interspeech. [more info]
  • Article Mutsam N. & Pernkopf F. (2016) Maximum Margin Hidden Markov Models for Sequence Classi cation. in Pattern recognition letters, 77, p. 14-20. [more info]
  • Conference contribution Fahringer J., Schrank T., Stahl J., Mowlaee Beikzadehmahaleh P. & Pernkopf F. (2016) Phase-Aware Signal Processing for Automatic Speech Recognition. in INTERSPEECH (pp. 3374-3378). [more info]
  • Conference contribution Aichernig B., Bloem R., Pernkopf F., Röck F., Schrank T. & Tappler M. (2016) Learning Models of a Network Protocol using Neural Network Language Models. in IEEE Symposium on Security and Privacy, SP 2016, San Jose, CA, USA, May 22-26, 2016. [more info]
  • Conference contribution Schuller B., Peharz R., Pernkopf F., Bartl-Pokorny K., Einspieler C., Marschik P. & Pokorny F. (2016) Retrospektive Analyse frühkindlicher Lautäußerungen in "Home- Videos": Ein signalanalytischer Ansatz zur Früherkennung von Entwicklungsstörungen. in Österreichische Linguistiktagung (ÖLT42). [more info]
  • Conference contribution Trapp M., Peharz R., Skowron M., Madl T., Pernkopf F. & Trappl R. (2016) Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees. in Neural Information Processing Systems (NIPS) workshop. [more info]
  • Book Mutsam N. & Pernkopf F. (2016) Supplementary Material: Derivations and Pseudocode for Learning Maximum Margin Hidden Markov Models for Sequence Classification. Elsevier Inc.. [more info]
  • Conference contribution Roth W. & Pernkopf F. (2016) Variational Inference in Neural Networks using an Approximate Closed-Form Objective. in Neural Information Processing Systems (NIPS) workshop. [more info]
  • Conference contribution Ratajczak M., Tschiatschek S. & Pernkopf F. (2016) Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification. in Interspeech. [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2016) Gated Recurrent Networks applied to Acoustic Scene Classification. in EUSIPCO. [more info]
  • Conference contribution Pokorny F., Schuller B., Peharz R., Pernkopf F., Bartl-Pokorny K., Einspieler C. & Marschik P. (2016) Contributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video material. in Congreso Internacional Psicologia Clinica. [more info]
  • Poster Knoll C., Pernkopf F., Mehta D. & Chen T. (2016) Fixed Point Solutions of Belief Propagation.. [more info]
  • Conference contribution Messner E., Hagmüller M., Swatek P. & Pernkopf F. (2016) A Robust multichannel lung sound recording device. in BIODEVICES 2016 - 9th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 (pp. 34-39). [more info]
  • Conference contribution Aichinger P., Hagmüller M., Roesner I., Bigenzahn W., Schneider-Stickler B., Schoentgen J. & Pernkopf F. (2015) Measurement of Fundamental Frequencies in Diplophonic Voice. in Models and Analysis of Vocal Emissions for Biomedical Applications (pp. 21-24). [more info]
  • Conference contribution Zöhrer M., Pernkopf F. & Peharz R. (2015) On Representation Learning for Artificial Bandwidth Extension. in INTERSPEECH-2015 (pp. 791-795). [more info]
  • Conference contribution Knoll C., Rath M., Tschiatschek S. & Pernkopf F. (2015) Message Scheduling Methods for Belief Propagation. in Machine Learning and Knowledge Discovery in Databases (pp. 295). [more info] [doi]
  • Conference contribution Zöhrer M. & Pernkopf F. (2015) REPRESENTATION MODELS IN SINGLE CHANNEL SOURCE SEPARATION. in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 713-717). [more info] [doi]
  • Conference contribution Tschiatschek S. & Pernkopf F. (2015) Learning of Bayesian Network Classifiers Under Computational Constraints. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. x-x). [more info]
  • Conference contribution Ratajczak M., Tschiatschek S. & Pernkopf F. (2015) Structured Regularizer for Neural Higher-Order Sequence Models. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. x-x). [more info]
  • Conference contribution Pokorny F., Graf F., Pernkopf F. & Schuller B. (2015) Detection of Negative Emotions in Speech Signals Using Bags-of-Audio-Words. in Intern. Workshop on Automatic Sentiment Analysis in the Wild - part of Intern. Conf. on Affective Computing and Intelligent Interaction (ACII) (pp. x-x). [more info]
  • Conference contribution Pfeifenberger L., Schrank T., Zöhrer M., Hagmüller M. & Pernkopf F. (2015) Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME Challenge results. in IEEE Workshop on Automatic Speech Recognition & Understanding. [more info]
  • Conference contribution Ratajczak M., Tschiatschek S. & Pernkopf F. (2015) Neural Higher-Order Factors in Conditional Random Fields for Phoneme Classification. in Interspeech - International Conference on Spoken Language Processing (pp. x-x). [more info]
  • Conference contribution Peharz R., Tschiatschek S., Pernkopf F. & Domingos P. (2015) On theoretical properties of sum-product networks. in International Conference on Artificial Intelligence and Statistics (pp. X-x). [more info]
  • Conference contribution Tschiatschek S. & Pernkopf F. (2015) Generatively Optimized Bayesian Network Classifiers Under Computational Constraints. in International Conference on Machine Learning (ICML), Workshop on Resource-Efficient Machine Learning (pp. x-x). [more info]
  • Article Zöhrer M., Pernkopf F. & Peharz R. (2015) Representation Learning for Single-Channel Source Separation and Bandwidth Extension. in IEEE transactions on audio, speech and language processing, 23(12), p. 2398-2409. [more info] [doi]
  • Article Tschiatschek S. & Pernkopf F. (2015) On Bayesian Network Classifiers with Reduced Precision Parameters. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(4), p. 774-785. [more info] [doi]
  • Article Leitner C. & Pernkopf F. (2015) On pre-image iterations for speech enhancement. in SpringerPlus , 4, p. 243--. [more info] [doi]
  • Conference contribution Wohlmayr M., Mohr L. & Pernkopf F. (2014) On Self-Adaptation in Single-Channel Source Separation. in Interspeech - International Conference on Spoken Language Processing (pp. x-x). [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2014) Single-Channel Source Separation with General Stochastic Networks. in Interspeech - International Conference on Spoken Language Processing (pp. x-x). [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2014) General Stochastic Networks for Classication. in Annual Conference on Neural Information Processing Systems (pp. x-x). [more info]
  • Conference contribution Pokorny F., Graf F. & Pernkopf F. (2014) Erkennung negativer Emotionen in Sprachsignalen mittels Bags-of-Audio-Words. in Deutsche Jahrestagung für Akustik (pp. x-x). [more info]
  • Conference contribution Zehetner A., Hagmüller M. & Pernkopf F. (2014) Wake-Up-Word Spotting for Mobile Systems. in European Signal Processing Conference (pp. x-x). [more info]
  • Conference contribution Tschiatschek S., Paul K. & Pernkopf F. (2014) Integer Bayesian Networks. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. x-x). [more info]
  • Conference contribution Pfeifenberger L. & Pernkopf F. (2014) A Multi-channel Postlter based on the Ideal Diffuse Sound Field. in European Signal Processing Conference (pp. x-x). [more info]
  • Conference contribution Pfeifenberger L. & Pernkopf F. (2014) Blind Source Extraction Based on a Direction-Dependent A-Priori SNR. in Interspeech - International Conference on Spoken Language Processing (pp. x-x). [more info]
  • Conference contribution Leitner C., Cordovilla J. & Pernkopf F. (2014) Evaluation of Speech Enhancement Based on Pre-Image Iterations Using Automatic Speech Recognition. in European Signal Processing Conference (pp. x-x). [more info]
  • Conference contribution Ratajczak M., Tschiatschek S. & Pernkopf F. (2014) Context-Specic Deep Conditional Random Fields for Structured Prediction. in International Conference on Machine Learning (ICML), Workshop on Learning Tractable Probabilistic Models (pp. 1-8). [more info]
  • Conference contribution Peharz R., Kapeller G., Mowlaee Beikzadehmahaleh P. & Pernkopf F. (2014) Modeling Speech with Sum- Product Networks: Application to Bandwidth Extension. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 3699-3703). [more info]
  • Chapter Pernkopf F., Peharz R. & Tschiatschek S. (2014) Introduction to Probabilistic Graphical Models. Academic Press. [more info]
  • Conference contribution Wohlmayr M. & Pernkopf F. (2013) Model Adaptation of Factorial HMMs for Multipitch Tracking. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 26052013-31052013). [more info]
  • Conference contribution Mowlaee Beikzadehmahaleh P., Cordovilla J., Pernkopf F., Pessentheiner H., Hagmüller M. & Kubin G. (2013) The 2nd CHiME Speech Separation and Recognition Challenge: Approaches on Single-Channel Speech Separation and Model-Driven Speech Enhancement. in Post ICASSP Workshop (pp. X-X). [more info]
  • Conference contribution Peharz R., Geiger B. & Pernkopf F. (2013) Greedy Part-wise Learning of Sum-Product Networks. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. 612-627). [more info]
  • Conference contribution Tschiatschek S. & Pernkopf F. (2013) On the Asymptotic Optimality of Maximum Margin Bayesian Networks. in International Conference on Artificial Intelligence and Statistics (pp. 590-598). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2013) Generalization of Pre-Image Iterations for Speech Enhancement. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 7010-7014). [more info]
  • Conference contribution Peharz R., Tschiatschek S. & Pernkopf F. (2013) The Most Generative Maximum Margin Bayesian Networks. in International Conference on Machine Learning (pp. 235-243). [more info]
  • Conference contribution Tschiatschek S., Chacon C. & Pernkopf F. (2013) Bound for Bayesian Network Classifiers with Reduced Precision Parameters. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 3357 -3361). [more info]
  • Conference contribution Cordovilla J., Pessentheiner H., Hagmüller M., Mowlaee Beikzadehmahaleh P., Pernkopf F. & Kubin G. (2013) A German distant speech recognizer based on 3D beamforming and harmonic missing data mask.. in EAA Euroregio - EAA Winter School including the 40th Italian (AIA) Annual Conference on Acoustics and the 39th German Annual Conference on Acoustics (DAGA) (pp. 2049-2052). [more info]
  • Article Pernkopf F. & Wohlmayr M. (2013) Stochastic Margin-based Structure Learning of Bayesian Network Classiers. in Pattern recognition, 46(2), p. 464-471. [more info]
  • Article Wohlmayr M. & Pernkopf F. (2013) Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. in IEEE transactions on audio, speech and language processing, 21(8), p. 1742-1754. [more info] [doi]
  • Conference contribution Peharz R. & Pernkopf F. (2012) Exact Maximum Margin Structure Learning of Bayesian Networks. in International Conference on Machine Learning (pp. X-X). [more info]
  • Conference contribution Tschiatschek S., Reinprecht P., Mücke M., Pernkopf F. & Mücke M. (2012) Discriminative Bayesian Network Classiers with Reduced Precision Parameters. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. 74-89). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2012) Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone. in International Workshop on Acoustic Signal Enhancement (pp. 1-4). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2012) Speech Enhancement Using Pre-Image Iterations. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 4665-4668). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2012) Musical Noise Suppression for Speech Enhancement Using Pre-Image Iterations. in International Conference on Systems, Signals and Image Processing (pp. 478-481). [more info]
  • Conference contribution Peharz R. & Pernkopf F. (2012) On Linear and MIXMAX Interaction Models for Single Channel Source Separation. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 249-252). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2012) Suppression of Musical Noise in Enhanced Speech Using Pre-Image Iterations. in European Signal Processing Conference (pp. 345-349). [more info]
  • Conference contribution Tschiatschek S., Mutsam N. & Pernkopf F. (2012) Handling Missing Features in Maximum Margin Bayesian Network Classifiers. in IEEE International Workshop on Machine Learning for Signal Processing (pp. X-X). [more info]
  • Patent Wohlmayr M., Stark M. & Pernkopf F. (2012) Verfahren zur Ermittlung von Grundfrequenz-Verläufen mehrerer Signalquellen.. [more info]
  • Article Pernkopf F., Wohlmayr M. & Tschiatschek S. (2012) Maximum Margin Bayesian Network Classifiers. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3), p. 521-532. [more info] [doi]
  • Article Peharz R. & Pernkopf F. (2012) Sparse nonnegative matrix factorization with ℓ0-constraints. in Neurocomputing, 80, p. 38-46. [more info] [doi]
  • Conference contribution Tschiatschek S. & Pernkopf F. (2012) Convex Combinations of Maximum Margin Bayesian Network Classifiers. in International Conference on Pattern Recognition Applications and Methods (ICPRAM). [more info]
  • Conference contribution Peharz R., Wohlmayr M. & Pernkopf F. (2011) Gain-robust Multi-pitch Tracking Using Sparse Nonnegative Matrix Factorization. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 5416-5419). [more info] [doi]
  • Conference contribution Wohlmayr M. & Pernkopf F. (2011) EM-based Gain Adaptation for Probabilistic Multipitch Tracking. in Interspeech - International Conference on Spoken Language Processing (pp. 1969-1972). [more info]
  • Conference contribution Leitner C. & Pernkopf F. (2011) The Pre-Image Problem and Kernel PCA for Speech Enhancement. in ISCA Tutorial and Research Workshop on Non-Linear Speech Processing (pp. 199-206). [more info]
  • Conference contribution Wohlmayr M., Peharz R. & Pernkopf F. (2011) Efficient Implementation of Probabilistic Multi-Pitch Tracking. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 5412-5415). [more info]
  • Conference contribution Leitner C., Pernkopf F. & Kubin G. (2011) Kernel PCA for Speech Enhancement. in Interspeech - International Conference on Spoken Language Processing (pp. 1221-1224). [more info]
  • Conference contribution Pernkopf F., Wohlmayr M. & Mücke M. (2011) Maximum Margin Structure Learning of Bayesian Network Classifiers. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 2076-2079). [more info]
  • Conference contribution Pirker G., Wohlmayr M., Petrik S. & Pernkopf F. (2011) A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. in Interspeech - International Conference on Spoken Language Processing (pp. 1509-1512). [more info]
  • Article Wohlmayr M., Stark M. & Pernkopf F. (2011) A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. in IEEE transactions on audio, speech and language processing, p. 799-810. [more info]
  • Article Stark M., Wohlmayr M. & Pernkopf F. (2011) Source-Filter based Single Channel Speech Separation using Pitch Information. in IEEE transactions on audio, speech and language processing, 19(2), p. 242-255. [more info]
  • Article Petrik S., Drexel C., Fessler L., Jancsary J., Klein A., Kubin G., Matiasek J., Pernkopf F. & Trost H. (2011) Semantic and Phonetic Automatic Reconstruction of Medical Dictations. in Computer speech and language, 25(2), p. 363-385. [more info] [doi]
  • Conference contribution Peharz R., Stark M. & Pernkopf F. (2010) A Factorial Sparse Coder Model for Single Channel Source Separation. in Proceedings of Interspeech 2010 (pp. 386-389). [more info]
  • Conference contribution Peharz R., Stark M. & Pernkopf F. (2010) Sparse Nonnegative Matrix Factorization using ℓ0-Constraints. in Proceedings of MLSP (pp. 83-88). [more info]
  • Conference contribution Stark M. & Pernkopf F. (2010) On Optimizing the Computational Complexity for VQ-Based Single Channel Source Separation. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 237-240). [more info]
  • Conference contribution Pernkopf F. & Wohlmayr M. (2010) Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models. in Machine Learning and Knowledge Discovery in Databases (pp. 50-55). [more info] [doi]
  • Conference contribution Pernkopf F. & Wohlmayr M. (2010) Maximum Margin Training for Gaussian Mixture Models with Application to Multipitch Tracking. in COMPSTAT (pp. X-X). [more info]
  • Conference contribution Wohlmayr M., Stark M. & Pernkopf F. (2010) A Mixture Maximization Approach to Multipitch Tracking With Factorial Hidden Markov Models. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 5070-5073). [more info]
  • Conference contribution Stark M., Wohlmayr M. & Pernkopf F. (2010) Single Channel Speech Separation Using Source-Filter Representation. in International Conference on Pattern Recognition (pp. 826-829). [more info]
  • Article Tantibundhit C., Pernkopf F. & Kubin G. (2010) Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement. in IEEE transactions on audio, speech and language processing, 18(6), p. 1417-1428. [more info]
  • Article Pernkopf F. & Bilmes J. (2010) Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. in Journal of machine learning research, p. 2323-2360. [more info]
  • Conference contribution Pernkopf F. & Wohlmayr M. (2009) On Discriminative Parameter Learning of Bayesian Network Classifiers. in European Conference on Machine Learning (ECML 2009) (pp. 221-237). [more info]
  • Conference contribution Stark M. & Pernkopf F. (2009) A Dictionary Based Noise Robust Pitch Tracker. in International Conference on Speech and Computer, SPECOM (pp. 211 -214). [more info]
  • Conference contribution Wohlmayr M. & Pernkopf F. (2009) Finite Mixture Spectrogram Modeling for Multipitch Tracking Using A Factorial Hidden Markov Model. in Proceedings of the 10th Annual Conference of the International Speech Communication Association (pp. 1079-1082). [more info]
  • Conference contribution Böhm C. & Pernkopf F. (2009) Effective metric-based speaker segmentation in the frequency domain. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 4081-4084). [more info]
  • Conference contribution Wiesenegger M. & Pernkopf F. (2009) Wavelet-Based Speaker Change Detection in Single Channel Speech Data. in Speech and Audio Segmentation and Classification (pp. X-X). [more info]
  • Conference contribution Stark M. & Pernkopf F. (2009) Towards source-filter based single sensor speech separation. in IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 97-100). [more info] [doi]
  • Conference contribution Kranzler C., Pernkopf F., Muhr R., Pucher M. & Neubarth F. (2009) Text-To-Speech Engine with Austrian German Corpus. in International Conference on Speech and Computer, SPECOM (pp. X-X). [more info]
  • Conference contribution Tantibundhit C., Pernkopf F. & Kubin G. (2009) Speech Enhancement Based on Joint Time-Frequency Segmentation. in IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 4673-4676). [more info]
  • Habilitation Pernkopf F. (2009) Graphical Models: Discriminative Learning, Inference, and Applications.. [more info]
  • Conference contribution Pham V., Stadtschnitzer M., Pernkopf F. & Kubin G. (2008) Voice Activity Detection Algorihtms Using Subband Power Distance Feature for Noisy Environments. in Interspeech - International Conference on Spoken Language Processing (pp. 1-4). [more info]
  • Conference contribution Pernkopf F. & Bilmes J. (2008) Order-based Discriminative Structure Learning for Bayesian network Classifiers. in International Symposium on Artificial Intelligence and Mathematics (pp. 1-8). [more info]
  • Conference contribution Stark M., Pernkopf F., Pham V. & Kubin G. (2008) Vocal-Tract Modeling For Speaker Independent Single Channel Source SEPARATION. in CIP 2008 (pp. 217-220). [more info]
  • Conference contribution Wohlmayr M. & Pernkopf F. (2008) Multipitch Tracking Using A Factorial Hidden Markov Model. in Interspeech - International Conference on Spoken Language Processing (pp. 1-4). [more info]
  • Conference contribution Petrik S. & Pernkopf F. (2008) Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction. in Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning (pp. 194-199). [more info]
  • Conference contribution Petrik S. & Pernkopf F. (2008) Automatic Phonetics-Driven Reconstruction of Medical Dictations on Multiple Levels of Segmentation. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 4317-4320). [more info] [doi]
  • Conference contribution Pernkopf F. (2008) Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation. in International Conference on Computer Vision Theory and Applications (pp. 1-6). [more info]
  • Article Pernkopf F., Pham T. & Bilmes J. (2008) Broad Phonetic Classification Using Discriminative Bayesian Networks. in Speech Communication, 51(2), p. 151-166. [more info]
  • Article Pernkopf F. (2008) Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation. in IEEE Transactions on Systems, Man, and Cybernetics / B, 38(6), p. 1465-1475. [more info]
  • Conference contribution Pernkopf F. (2007) Tracking of Multiple Targets using On-line Learning for Appearance Model Adaptation. in International Conference on Image Analysis and Recognition (pp. 602-614). [more info]
  • Conference contribution Denchev V., Pernkopf F. & Radev D. (2007) Modeling and Clustering Analysis of Broadband Convergence Networks. in 2nd IEEE International Workshop on Broadband Convergence Networks (pp. 1-12). [more info]
  • Conference contribution Stark M., Pham V., Pernkopf F. & Kubin G. (2007) Robust Speaker Verification in Air Traffic Control using Improved Voice Activity Detection. in From Proceeding (554) Signal Processing, Pattern Recognition, and Applications - 2007 (pp. 298-303). [more info]
  • Conference contribution Kepesi M., Pernkopf F. & Wohlmayr M. (2007) Joint Position-Pitch Tracking for 2-Channel Audio. in 5th International Workshop on Content-Based Multimedia Indexing (pp. 303-306). [more info]
  • (Old data) Lecture or Presentation Stark M., Pham V., Pernkopf F., Kubin G. & Hering H. (2006) Speaker Verification for Air Traffic Control.. [more info]
  • Conference contribution Pernkopf F. & Pham V. (2006) Bayesian Networks for Phonetic Classification Using Time-Scale Features. in Interspeech - International Conference on Spoken Language Processing (pp. 1-4). [more info]
  • Conference contribution Pernkopf F. (2006) Discriminative Learning of Bayesian Network Classifiers. in Artificial Intelligence and Soft Computing (oral presentation) (pp. 1-6). [more info]
  • Conference contribution Pernkopf F. (2005) On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm. in IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 693-696). [more info]
  • Conference contribution Pernkopf F. & Bilmes J. (2005) Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers. in International Conference on Machine Learning (ICML) (pp. 657-664). [more info]
  • Article Pernkopf F. & Bouchaffra D. (2005) Genetic-based EM Algorithm for Learning Gaussian Mixture Models. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), p. 1344-1348. [more info] [doi]
  • Article Pernkopf F. (2005) 3D Surface Analysis using Coupled HMMs. in Machine vision and applications. [more info]
  • Article Pernkopf F. (2005) 3D Surface Acquisition and Reconstruction for Inspection of Raw Steel Products. in Computers in industry. [more info]
  • Article Pernkopf F. (2005) Bayesian Network Classifiers versus Selective k-NN Classifier. in Pattern recognition, 38(1), p. 1-10. [more info]
  • Conference contribution Baum M., Dizdarevic V., Hagmüller M., Kubin G. & Pernkopf F. (2004) Prosody-Based Recognition of Spoken German Varieties. in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 929-932). [more info]
  • Conference contribution Pernkopf F. (2004) Bayesian Network Classifiers versus k-NN Classifier using Sequential Feature Selection. in 19th National Conference on Artificial Intelligence (AAAI) (pp. 360-365). [more info]
  • Conference contribution Pernkopf F. (2004) 3D Surface Inspection using Couples HMMs. in International Conference on Pattern Recognition (pp. 223-226). [more info]
  • Article Pernkopf F. (2004) Detection of Surface Defects on Raw Steel Blocks using Bayesian Network Classifiers. in Pattern analysis and applications, 7(3), p. 333-342. [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2003) A Search-and-Score Structure Learning Algorithm for Bayesian Network Classifiers. in SME Technical Paper MV03-329 (pp. 1-12). [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2003) Shape Description and Analysis of Range Data for Milled Steel Blocks. in IS&T/SPIE 15th Annual Symposium on Electronic Imaging (pp. 74-81). [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2003) A Search-and-Score Structure Learning Algorithm for Bayesian Network Classifiers. in 6th International Conference on Quality Control by Artificial Vision (QCAV) (pp. X-X). [more info]
  • Article Pernkopf F. & O'Leary P. (2003) Image Acquisition Techniques for Automatic Visual Inspection of Metallic Surfaces. in NDT & E international, 36(8), p. 609-617. [more info]
  • Article Pernkopf F. & O'Leary P. (2003) Floating Search Algorithm for Structure Learning of Bayesian Network Classifiers. in Pattern recognition letters, 24, p. 2839-2848. [more info]
  • Conference contribution Pernkopf F., Pernkopf F. & O'Leary P. (2002) Dedection fo Surface Defects on Raw Milled Steel Blocks Using Range Imaging. in IS&T/SPIE's 14th Annual Symposium on Electronic Imaging (pp. 170-181). [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2002) Image Acquisition and Analysis Techniques for Automatic Visual Inspection of Surfaces. in 21th Verformungskundliches Kolloquium (pp. 180-187). [more info]
  • Conference contribution Pernkopf F., Pernkopf F. & O'Leary P. (2002) Automatic Surface Inspection of Raw Milled Steel Blocks Using Range Imaging. in Newsletter for SPIE's International Technical Group on Electornic Imaging. [more info]
  • Article Pernkopf F. & O'Leary P. (2002) Visual Inspection of Machined Metallic High-Precision Surfaces. in EURASIP journal on applied signal processing, 2002(7), p. 667-678. [more info]
  • Book Pernkopf F. (2002) Automatic Visual Inspection of Metallic Surfaces. Springer-VDI-Verlag GmbH & Co.KG, Reihe 8, Nr. 949 ed.. [more info]
  • Doctoral Thesis Pernkopf F. (2002) Automatic Visual Inspection of Metallic Surfaces.. [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2001) Feature Selection and Classification using Genetic Algorithms with a novel Encoding. in 9th International conference on Computer Analysis of Images and Patterns (pp. 161-168). [more info]
  • Conference contribution Pernkopf F. & O'Leary P. (2001) Automatic Inspection System for Detection and Classification of Flaws on Turned Parts. in 5th International Conference on Quality Control by Artificial Vision (pp. 359-364). [more info]
  • Conference contribution Pernkopf F., Schiller A. & O'Leary P. (2001) Quality Control of Metallic Surfaces by means of Digital Image Processing. in 20th Verformungskundliches Kolloquium (pp. 138-151). [more info]
  • Diploma Thesis Pernkopf F. (1999) Control Software for a 64 by 64 pixel Spatial Light Modulator.. [more info]