default search action
Jort F. Gemmeke
Jort Florent Gemmeke
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – 2019
- 2019
- [i4]Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Bart Ons, Walter Daelemans, Hugo Van hamme:
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. CoRR abs/1901.10680 (2019) - 2017
- [c55]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
CNN architectures for large-scale audio classification. ICASSP 2017: 131-135 - [c54]Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R. Channing Moore, Manoj Plakal, Marvin Ritter:
Audio Set: An ontology and human-labeled dataset for audio events. ICASSP 2017: 776-780 - [c53]Aren Jansen, Jort F. Gemmeke, Daniel P. W. Ellis, Xiaofeng Liu, Wade Lawrence, Dylan Freedman:
Large-scale audio event discovery in one million YouTube videos. ICASSP 2017: 786-790 - 2016
- [j18]Emre Yilmaz
Noise robust exemplar matching with alpha-beta divergence. Speech Commun. 76: 127-142 (2016) - [c52]Emre Yilmaz
Data selection for noise robust exemplar matching. ICASSP 2016: 5980-5984 - [i3]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, Kevin W. Wilson:
CNN Architectures for Large-Scale Audio Classification. CoRR abs/1609.09430 (2016) - 2015
- [j17]Sami Keronen, Heikki Kallasjoki, Kalle J. Palomäki, Guy J. Brown
Feature enhancement of reverberant speech by distribution matching and non-negative matrix factorization. EURASIP J. Adv. Signal Process. 2015: 76 (2015) - [j16]Tuomas Virtanen
Compositional Models for Audio Processing: Uncovering the structure of sound mixtures. IEEE Signal Process. Mag. 32(2): 125-144 (2015) - [j15]Meng Sun
Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback-Leibler Divergence. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1233-1242 (2015) - [j14]Deepak Baby
Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1788-1799 (2015) - [c51]Emre Yilmaz
Adaptive noise dictionary design for noise robust exemplar matching of speech. EUSIPCO 2015: 1681-1685 - [c50]Deepak Baby
Exemplar-based speech enhancement for deep neural network based automatic speech recognition. ICASSP 2015: 4485-4489 - [c49]Gert Dekkers, Toon van Waterschoot, Bart Vanrumste
A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. INTERSPEECH 2015: 746-750 - 2014
- [j13]Bart Ons, Jort F. Gemmeke, Hugo Van hamme
Fast vocabulary acquisition in an NMF-based self-learning vocal user interface. Comput. Speech Lang. 28(4): 997-1017 (2014) - [j12]Bart Ons, Jort F. Gemmeke, Hugo Van hamme
The self-taught vocal interface. EURASIP J. Audio Speech Music. Process. 2014: 43 (2014) - [j11]Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch
Fusion of parametric and non-parametric approaches to noise-robust ASR. Speech Commun. 56: 49-62 (2014) - [j10]Heikki Kallasjoki, Jort F. Gemmeke, Kalle J. Palomäki:
Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(2): 368-380 (2014) - [j9]Jürgen T. Geiger, Felix Weninger, Jort F. Gemmeke, Martin Wöllmer, Björn W. Schuller
Memory-Enhanced Neural Networks and NMF for Robust ASR. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1037-1046 (2014) - [j8]Emre Yilmaz
Noise Robust Exemplar Matching Using Sparse Representations of Speech. IEEE ACM Trans. Audio Speech Lang. Process. 22(8): 1306-1319 (2014) - [c48]Jort F. Gemmeke:
The self-taught vocal interface. HSCMA 2014: 21-22 - [c47]Tuomas Virtanen, Bhiksha Raj, Jort F. Gemmeke, Hugo Van hamme
Active-set newton algorithm for non-negative sparse coding of audio. ICASSP 2014: 3092-3096 - [c46]Emre Yilmaz
Noise-robust speech recognition with exemplar-based sparse representations using Alpha-Beta divergence. ICASSP 2014: 5502-5506 - [c45]Oliver Walter, Vladimir Despotovic, Reinhold Haeb-Umbach, Jort F. Gemmeke, Bart Ons, Hugo Van hamme
An evaluation of unsupervised acoustic model training for a dysarthric speech interface. INTERSPEECH 2014: 1013-1017 - [c44]Jürgen T. Geiger, Jort F. Gemmeke, Björn W. Schuller, Gerhard Rigoll:
Investigating NMF speech enhancement for neural network based acoustic models. INTERSPEECH 2014: 2405-2409 - [c43]Steven Lauwereins, Wannes Meert
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees. MLSP 2014: 1-6 - [c42]Vincent Renkens
Acquisition of ordinal words using weakly supervised NMF. SLT 2014: 30-35 - [c41]Jort F. Gemmeke, Siddharth Sehgal, Stuart P. Cunningham
Dysarthric vocal interfaces with minimal training data. SLT 2014: 248-253 - [c40]Deepak Baby
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. SLT 2014: 519-524 - 2013
- [j7]Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtanen
Modelling non-stationary noise with spectral factorisation in automatic speech recognition. Comput. Speech Lang. 27(3): 763-779 (2013) - [j6]Sami Keronen, Heikki Kallasjoki, Ulpu Remes
Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment. Comput. Speech Lang. 27(3): 798-819 (2013) - [j5]Tuomas Virtanen
Active-Set Newton Algorithm for Overcomplete Non-Negative Representations of Audio. IEEE Trans. Speech Audio Process. 21(11): 2277-2289 (2013) - [c39]Bart Ons, Jort F. Gemmeke, Hugo Van hamme
NMF-based keyword learning from scarce data. ASRU 2013: 392-397 - [c38]Emre Yilmaz, Jort F. Gemmeke, Hugo Van hamme:
Exemplar selection techniques for sparse representations of speech using multiple dictionaries. EUSIPCO 2013: 1-5 - [c37]Jort F. Gemmeke, Tuomas Virtanen
Exemplar-based joint channel and noise compensation. ICASSP 2013: 868-872 - [c36]Emre Yilmaz
Embedding time warping in exemplar-based sparse representations of speech. ICASSP 2013: 8076-8080 - [c35]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, Bart Vanrumste
Self-taught assistive vocal interfaces: an overview of the ALADIN project. INTERSPEECH 2013: 2039-2043 - [c34]Lize Broekx, Katrien Dreesen, Jort Florent Gemmeke, Hugo Van hamme:
Comparing and combining classifiers for self-taught vocal interfaces. SLPAT 2013: 21-28 - [c33]Bart Ons, Netsanet M. Tessema, Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Walter Daelemans, Hugo Van hamme:
A Self Learning Vocal Interface for Speech-impaired Users. SLPAT 2013: 73-81 - [c32]Jort F. Gemmeke, Lode Vuegen
An exemplar-based NMF approach to audio event detection. WASPAA 2013: 1-4 - [p3]Yujun Wang, Jort F. Gemmeke, Kris Demuynck, Hugo Van hamme:
Missing Data Solutions for Robust Speech Recognition. Essential Speech and Language Technology for Dutch 2013: 289-304 - 2012
- [j4]Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo, Dimitri Kanevsky, Dirk Van Compernolle, Kris Demuynck, Jort F. Gemmeke, Jerome R. Bellegarda, Shiva Sundaram:
Exemplar-Based Processing for Speech Recognition: An Overview. IEEE Signal Process. Mag. 29(6): 98-113 (2012) - [c31]Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Joris Driesen, Hugo Van hamme, Walter Daelemans:
Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning. SMIAE@ACL 2012: 34-42 - [c30]Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtanen:
Detection, separation and recognition of speech from continuous signals using spectral factorisation. EUSIPCO 2012: 2649-2653 - [c29]Felix Weninger, Martin Wöllmer, Jürgen T. Geiger, Björn W. Schuller
Non-negative matrix factorization for highly noise-robust ASR: To enhance or to recognize? ICASSP 2012: 4681-4684 - [c28]Joris Driesen, Jort F. Gemmeke, Hugo Van hamme
Weakly supervised keyword learning using sparse representations of speech. ICASSP 2012: 5145-5148 - [c27]Joris Driesen, Jort F. Gemmeke, Hugo Van hamme:
Data-driven speech representations for NMF-based word learning. SAPA@INTERSPEECH 2012: 98-103 - [c26]Yang Sun, Mathew M. Doss, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch, Lou Boves:
Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR. INTERSPEECH 2012: 310-313 - [c25]Jort F. Gemmeke, Janneke van de Loo, Guy De Pauw, Joris Driesen, Hugo Van hamme
A Self-Learning Assistive Vocal Interface Based on Vocabulary Learning and Grammar Induction. INTERSPEECH 2012: 831-834 - [c24]Jort F. Gemmeke, Hugo Van hamme
Advances in noise robust digit recognition using hybrid exemplar-based techniques. INTERSPEECH 2012: 2134-2137 - [c23]Yang Sun, Bert Cranen, Jort F. Gemmeke, Louis ten Bosch, Lou Boves, Mathew M. Doss:
Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR. INTERSPEECH 2012: 2142-2145 - [c22]Bart Ons, Jort F. Gemmeke, Hugo Van hamme:
Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface. IWSDS 2012: 249-259 - [c21]Emre Yilmaz
Noise-robust digit recognition with exemplar-based sparse representations of variable length. MLSP 2012: 1-4 - [p2]Jort Florent Gemmeke, Ulpu Remes
Missing-Data Techniques: Feature Reconstruction. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 399-432 - 2011
- [j3]Jort F. Gemmeke, Bert Cranen, Ulpu Remes
Sparse imputation for large vocabulary noise robust ASR. Comput. Speech Lang. 25(2): 462-479 (2011) - [j2]Jort F. Gemmeke, Tuomas Virtanen
Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition. IEEE Trans. Speech Audio Process. 19(7): 2067-2080 (2011) - [c20]Jort F. Gemmeke, Hugo Van hamme
An hierarchical exemplar-based sparse model of speech, with an application to ASR. ASRU 2011: 101-106 - [c19]Heyun Huang, Louis ten Bosch, Jort F. Gemmeke, Bert Cranen, Lou Boves:
Exploiting local and global structures for TIMIT phone classification. EUSIPCO 2011: 1485-1489 - [c18]Jort F. Gemmeke, Antti Hurmalainen, Tuomas Virtanen, Yang Sun:
Toward a practical implementation of exemplar-based noise robust ASR. EUSIPCO 2011: 1490-1494 - [c17]Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch, Lou Boves:
Early fusion of Sparse Classification and GMM for noise robust ASR. EUSIPCO 2011: 1495-1499 - [c16]Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtanen
Non-negative matrix deconvolution in noise robust speech recognition. ICASSP 2011: 4588-4591 - [c15]Katariina Mahkonen, Antti Hurmalainen, Tuomas Virtanen, Jort F. Gemmeke:
Mapping Sparse Representation to State Likelihoods in Noise-Robust Automatic Speech Recognition. INTERSPEECH 2011: 465-468 - [c14]Heikki Kallasjoki, Ulpu Remes, Jort F. Gemmeke, Tuomas Virtanen, Kalle J. Palomäki:
Uncertainty Measures for Improving Exemplar-Based Source Separation. INTERSPEECH 2011: 469-472 - [c13]Heyun Huang, Yang Liu, Jort F. Gemmeke, Louis ten Bosch, Bert Cranen, Lou Boves:
Globality-Locality Consistent Discriminant Analysis for Phone Classification. INTERSPEECH 2011: 1253-1256 - [c12]Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch, Lou Boves:
Improvements of a Dual-Input DBN for Noise Robust ASR. INTERSPEECH 2011: 1669-1672 - [p1]Jort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van hamme
Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. Robust Speech Recognition of Uncertain or Missing Data 2011: 157-185 - 2010
- [j1]Jort F. Gemmeke, Hugo Van hamme
Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition. IEEE J. Sel. Top. Signal Process. 4(2): 272-287 (2010) - [c11]Jort F. Gemmeke, Tuomas Virtanen
Noise robust exemplar-based connected digit recognition. ICASSP 2010: 4546-4549 - [c10]Tuomas Virtanen, Jort F. Gemmeke, Antti Hurmalainen:
State-based labelling for a sparse representation of speech and its application to robust speech recognition. INTERSPEECH 2010: 893-896 - [c9]Jort F. Gemmeke, Tuomas Virtanen:
Artificial and online acquired noise dictionaries for noise robust ASR. INTERSPEECH 2010: 2082-2085 - [c8]Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch, Lou Boves:
Using a DBN to integrate sparse classification and GMM-based ASR. INTERSPEECH 2010: 2098-2101 - [c7]Jort F. Gemmeke, Ulpu Remes, Kalle J. Palomäki:
Observation uncertainty measures for sparse imputation. INTERSPEECH 2010: 2262-2265
2000 – 2009
- 2009
- [c6]Jort F. Gemmeke, Louis ten Bosch, Lou Boves, Bert Cranen:
Using sparse representations for exemplar based continuous digit recognition. EUSIPCO 2009: 1755-1759 - [c5]Jort F. Gemmeke, Bert Cranen:
Sparse imputation for noise robust speech recognition using soft masks. ICASSP 2009: 4645-4648 - [c4]Jort F. Gemmeke, Bert Cranen:
Missing data imputation using compressive sensing techniques for connected digit recognition. DPS 2009: 1-8 - [c3]Jort F. Gemmeke, Yujun Wang, Maarten Van Segbroeck, Bert Cranen, Hugo Van hamme
Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases. INTERSPEECH 2009: 1227-1230 - [i2]Jort F. Gemmeke, Bert Cranen:
TR01: Time-continuous Sparse Imputation. CoRR abs/0901.2416 (2009) - [i1]Jort F. Gemmeke, Bert Cranen:
TR02: State dependent oracle masks for improved dynamical features. CoRR abs/0903.3198 (2009) - 2008
- [c2]Jort F. Gemmeke, Bert Cranen:
Using sparse representations for missing data imputation in noise robust speech recognition. EUSIPCO 2008: 1-5 - [c1]Jort F. Gemmeke, Bert Cranen:
Noise reduction through compressed sensing. INTERSPEECH 2008: 1785-1788
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-02 19:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: