Using sparse representations for missing data imputation in noise robust speech recognition. - Jort F. Gemmeke; Bert Cranen (EUSIPCO, 2008)

Noise reduction through compressed sensing. - Jort F. Gemmeke; Bert Cranen (INTERSPEECH, 2008)

Using sparse representations for exemplar based continuous digit recognition. - Jort F. Gemmeke; Louis ten Bosch; Lou Boves; Bert Cranen (EUSIPCO, 2009)

Sparse imputation for noise robust speech recognition using soft masks. - Jort F. Gemmeke; Bert Cranen (ICASSP, 2009)

Missing data imputation using compressive sensing techniques for connected digit recognition. - Jort F. Gemmeke; Bert Cranen (DPS, 2009)

Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases. - Jort F. Gemmeke; Yujun Wang; Maarten Van Segbroeck; Bert Cranen; Hugo Van hamme (INTERSPEECH, 2009)

TR01: Time-continuous Sparse Imputation - Jort F. Gemmeke; Bert Cranen (CoRR, 2009)

TR02: State dependent oracle masks for improved dynamical features - Jort F. Gemmeke; Bert Cranen (CoRR, 2009)

Noise robust exemplar-based connected digit recognition. - Jort F. Gemmeke; Tuomas Virtanen (ICASSP, 2010)

Observation uncertainty measures for sparse imputation. - Jort F. Gemmeke; Ulpu Remes; Kalle J. Palomäki (INTERSPEECH, 2010)

Artificial and online acquired noise dictionaries for noise robust ASR. - Jort F. Gemmeke; Tuomas Virtanen (INTERSPEECH, 2010)

Using a DBN to integrate sparse classification and GMM-based ASR. - Yang Sun; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (INTERSPEECH, 2010)

State-based labelling for a sparse representation of speech and its application to robust speech recognition. - Tuomas Virtanen; Jort F. Gemmeke; Antti Hurmalainen (INTERSPEECH, 2010)

Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition. - Jort F. Gemmeke; Hugo Van hamme; Bert Cranen; Louis Boves (IEEE J. Sel. Top. Signal Process., 2010)

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. - Jort F. Gemmeke; Maarten Van Segbroeck; Yujun Wang; Bert Cranen; Hugo Van hamme (Robust Speech Recognition of Uncertain or Missing Data, 2011)

An hierarchical exemplar-based sparse model of speech, with an application to ASR. - Jort F. Gemmeke; Hugo Van hamme (ASRU, 2011)

Toward a practical implementation of exemplar-based noise robust ASR. - Jort F. Gemmeke; Antti Hurmalainen; Tuomas Virtanen; Yang Sun (EUSIPCO, 2011)

Exploiting local and global structures for TIMIT phone classification. - Heyun Huang; Louis ten Bosch; Jort F. Gemmeke; Bert Cranen; Lou Boves (EUSIPCO, 2011)

Early fusion of Sparse Classification and GMM for noise robust ASR. - Yang Sun; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (EUSIPCO, 2011)

Non-negative matrix deconvolution in noise robust speech recognition. - Antti Hurmalainen; Jort F. Gemmeke; Tuomas Virtanen (ICASSP, 2011)

Globality-Locality Consistent Discriminant Analysis for Phone Classification. - Heyun Huang; Yang Liu 007; Jort F. Gemmeke; Louis ten Bosch; Bert Cranen; Lou Boves (INTERSPEECH, 2011)

Uncertainty Measures for Improving Exemplar-Based Source Separation. - Heikki Kallasjoki; Ulpu Remes; Jort F. Gemmeke; Tuomas Virtanen; Kalle J. Palomäki (INTERSPEECH, 2011)

Mapping Sparse Representation to State Likelihoods in Noise-Robust Automatic Speech Recognition. - Katariina Mahkonen; Antti Hurmalainen; Tuomas Virtanen; Jort F. Gemmeke (INTERSPEECH, 2011)

Improvements of a Dual-Input DBN for Noise Robust ASR. - Yang Sun; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (INTERSPEECH, 2011)

Sparse imputation for large vocabulary noise robust ASR. - Jort F. Gemmeke; Bert Cranen; Ulpu Remes (Comput. Speech Lang., 2011)

Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition. - Jort F. Gemmeke; Tuomas Virtanen; Antti Hurmalainen (IEEE Trans. Speech Audio Process., 2011)

Missing-Data Techniques: Feature Reconstruction. - Jort Florent Gemmeke; Ulpu Remes (Techniques for Noise Robustness in Automatic Speech Recognition, 2012)

Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning. - Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Joris Driesen; Hugo Van hamme; Walter Daelemans (SMIAE@ACL, 2012)

Detection, separation and recognition of speech from continuous signals using spectral factorisation. - Antti Hurmalainen; Jort F. Gemmeke; Tuomas Virtanen (EUSIPCO, 2012)

Weakly supervised keyword learning using sparse representations of speech. - Joris Driesen; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2012)

Non-negative matrix factorization for highly noise-robust ASR: To enhance or to recognize? - Felix Weninger; Martin Wöllmer; Jürgen T. Geiger; Björn W. Schuller; Jort F. Gemmeke; Antti Hurmalainen; Tuomas Virtanen; Gerhard Rigoll (ICASSP, 2012)

Data-driven speech representations for NMF-based word learning. - Joris Driesen; Jort F. Gemmeke; Hugo Van hamme (SAPA@INTERSPEECH, 2012)

A Self-Learning Assistive Vocal Interface Based on Vocabulary Learning and Grammar Induction. - Jort F. Gemmeke; Janneke van de Loo; Guy De Pauw; Joris Driesen; Hugo Van hamme; Walter Daelemans (INTERSPEECH, 2012)

Advances in noise robust digit recognition using hybrid exemplar-based techniques. - Jort F. Gemmeke; Hugo Van hamme (INTERSPEECH, 2012)

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR. - Yang Sun; Bert Cranen; Jort F. Gemmeke; Louis ten Bosch; Lou Boves; Mathew M. Doss (INTERSPEECH, 2012)

Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR. - Yang Sun; Mathew M. Doss; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (INTERSPEECH, 2012)

Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (IWSDS, 2012)

Noise-robust digit recognition with exemplar-based sparse representations of variable length. - Emre Yilmaz 001; Jort F. Gemmeke; Dirk Van Compernolle; Hugo Van hamme (MLSP, 2012)

Exemplar-Based Processing for Speech Recognition: An Overview. - Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo; Dimitri Kanevsky; Dirk Van Compernolle; Kris Demuynck; Jort F. Gemmeke; Jerome R. Bellegarda; Shiva Sundaram (IEEE Signal Process. Mag., 2012)

NMF-based keyword learning from scarce data. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (ASRU, 2013)

Exemplar selection techniques for sparse representations of speech using multiple dictionaries. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (EUSIPCO, 2013)

Exemplar-based joint channel and noise compensation. - Jort F. Gemmeke; Tuomas Virtanen; Kris Demuynck (ICASSP, 2013)

Embedding time warping in exemplar-based sparse representations of speech. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2013)

Self-taught assistive vocal interfaces: an overview of the ALADIN project. - Jort F. Gemmeke; Bart Ons; Netsanet M. Tessema; Hugo Van hamme; Janneke van de Loo; Guy De Pauw; Walter Daelemans; Jonathan Huyghe; Jan Derboven; Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; et al. (INTERSPEECH, 2013)

Comparing and combining classifiers for self-taught vocal interfaces. - Lize Broekx; Katrien Dreesen; Jort Florent Gemmeke; Hugo Van hamme (SLPAT, 2013)

A Self Learning Vocal Interface for Speech-impaired Users. - Bart Ons; Netsanet M. Tessema; Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Walter Daelemans; Hugo Van hamme (SLPAT, 2013)

An exemplar-based NMF approach to audio event detection. - Jort F. Gemmeke; Lode Vuegen; Peter Karsmakers; Bart Vanrumste; Hugo Van hamme (WASPAA, 2013)

Modelling non-stationary noise with spectral factorisation in automatic speech recognition. - Antti Hurmalainen; Jort F. Gemmeke; Tuomas Virtanen (Comput. Speech Lang., 2013)

Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment. - Sami Keronen; Heikki Kallasjoki; Ulpu Remes; Guy J. Brown; Jort F. Gemmeke; Kalle J. Palomäki (Comput. Speech Lang., 2013)

Active-Set Newton Algorithm for Overcomplete Non-Negative Representations of Audio. - Tuomas Virtanen; Jort Florent Gemmeke; Bhiksha Raj (IEEE Trans. Speech Audio Process., 2013)

Missing Data Solutions for Robust Speech Recognition. - Yujun Wang; Jort F. Gemmeke; Kris Demuynck; Hugo Van hamme (Essential Speech and Language Technology for Dutch, 2013)

The self-taught vocal interface. - Jort F. Gemmeke (HSCMA, 2014)

Active-set newton algorithm for non-negative sparse coding of audio. - Tuomas Virtanen; Bhiksha Raj; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2014)

Noise-robust speech recognition with exemplar-based sparse representations using Alpha-Beta divergence. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2014)

Investigating NMF speech enhancement for neural network based acoustic models. - Jürgen T. Geiger; Jort F. Gemmeke; Björn W. Schuller; Gerhard Rigoll (INTERSPEECH, 2014)

An evaluation of unsupervised acoustic model training for a dysarthric speech interface. - Oliver Walter; Vladimir Despotovic; Reinhold Haeb-Umbach; Jort F. Gemmeke; Bart Ons; Hugo Van hamme (INTERSPEECH, 2014)

Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees. - Steven Lauwereins; Wannes Meert; Jort F. Gemmeke; Marian Verhelst (MLSP, 2014)

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Tom Barker; Hugo Van hamme (SLT, 2014)

Dysarthric vocal interfaces with minimal training data. - Jort F. Gemmeke; Siddharth Sehgal; Stuart P. Cunningham; Hugo Van hamme (SLT, 2014)

Acquisition of ordinal words using weakly supervised NMF. - Vincent Renkens; Steven Janssens; Bart Ons; Jort F. Gemmeke; Hugo Van hamme (SLT, 2014)

Fast vocabulary acquisition in an NMF-based self-learning vocal user interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (Comput. Speech Lang., 2014)

The self-taught vocal interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2014)

Fusion of parametric and non-parametric approaches to noise-robust ASR. - Yang Sun; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (Speech Commun., 2014)

Memory-Enhanced Neural Networks and NMF for Robust ASR. - Jürgen T. Geiger; Felix Weninger; Jort F. Gemmeke; Martin Wöllmer; Björn W. Schuller; Gerhard Rigoll (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition. - Heikki Kallasjoki; Jort F. Gemmeke; Kalle J. Palomäki (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Noise Robust Exemplar Matching Using Sparse Representations of Speech. - Emre Yilmaz 001; Jort Florent Gemmeke; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Adaptive noise dictionary design for noise robust exemplar matching of speech. - Emre Yilmaz 001; Hugo Van hamme; Jort F. Gemmeke (EUSIPCO, 2015)

Exemplar-based speech enhancement for deep neural network based automatic speech recognition. - Deepak Baby; Jort F. Gemmeke; Tuomas Virtanen; Hugo Van hamme (ICASSP, 2015)

A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. - Gert Dekkers; Toon van Waterschoot; Bart Vanrumste; Bert Van Den Broeck; Jort F. Gemmeke; Hugo Van hamme; Peter Karsmakers (INTERSPEECH, 2015)

Feature enhancement of reverberant speech by distribution matching and non-negative matrix factorization. - Sami Keronen; Heikki Kallasjoki; Kalle J. Palomäki; Guy J. Brown; Jort F. Gemmeke (EURASIP J. Adv. Signal Process., 2015)

Compositional Models for Audio Processing: Uncovering the structure of sound mixtures. - Tuomas Virtanen; Jort Florent Gemmeke; Bhiksha Raj; Paris Smaragdis (IEEE Signal Process. Mag., 2015)

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback-Leibler Divergence. - Meng Sun 001; Yinan Li; Jort F. Gemmeke; Xiongwei Zhang (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Data selection for noise robust exemplar matching. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2016)

Noise robust exemplar matching with alpha-beta divergence. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (Speech Commun., 2016)

Audio Set: An ontology and human-labeled dataset for audio events. - Jort F. Gemmeke; Daniel P. W. Ellis; Dylan Freedman; Aren Jansen; Wade Lawrence; R. Channing Moore; Manoj Plakal; Marvin Ritter (ICASSP, 2017)

CNN architectures for large-scale audio classification. - Shawn Hershey; Sourish Chaudhuri; Daniel P. W. Ellis; Jort F. Gemmeke; Aren Jansen; R. Channing Moore; Manoj Plakal; Devin Platt; Rif A. Saurous; Bryan Seybold; Malcolm Slaney; Ron J. Weiss; et al. (ICASSP, 2017)

Large-scale audio event discovery in one million YouTube videos. - Aren Jansen; Jort F. Gemmeke; Daniel P. W. Ellis; Xiaofeng Liu; Wade Lawrence; Dylan Freedman (ICASSP, 2017)

Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. - Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Bart Ons; Walter Daelemans; Hugo Van hamme (CoRR, 2019)