J. Gemmeke

发表

The TUM+TUT+KUL approach to the CHiME challenge 2013: Multi-stream ASR exploiting BLSTM networks and sparse NMF

Björn Schuller, Martin Wöllmer, Gerhard Rigoll, 2013 .

Audio Set: An ontology and human-labeled dataset for audio events

Aren Jansen, Daniel P. W. Ellis, Marvin Ritter, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detecting irregular orbits in gravitational N-body simulations

J. Gemmeke, S. Zwart, C. Kruip, 2006, astro-ph/0607343.

Compositional models for audio processing

P. Smaragdis, B. Raj, T. Virtanen, 2014 .

SELECTION FOR NOISE ROBUST EXEMPLAR MATCHING

J. Gemmeke, Emre Yilmaz, H. Van, 2016 .

Non-negative matrix deconvolution in noise robust speech recognition

Tuomas Virtanen, Antti Hurmalainen, Jort F. Gemmeke, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recognition of Reverberant Speech by Missing Data Imputation and NMF Feature Enhancement

Guy J. Brown, Kalle J. Palomäki, Jort F. Gemmeke, 2014 .

An adaptive vocal user-interface learning from speech examples of the user

Hugo Van hamme, Bart Ons, Jort F. Gemmeke, 2013 .

Metadata for Corpora PATCOR and Domotica-2

Walter Daelemans, Hugo Van hamme, Bart Ons, 2013 .

Detecting chaotic orbits in N-body simulations

J. Gemmeke, 2005 .

Detecting irregular orbits in gravitational N-body simulations

J. Gemmeke, S. Zwart, C. Kruip, 2006, astro-ph/0607343.

CNN architectures for large-scale audio classification

Aren Jansen, Daniel P. W. Ellis, Ron J. Weiss, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-driven speech representations for NMF-based word learning

Hugo Van hamme, Joris Driesen, Jort F. Gemmeke, 2012, SAPA@INTERSPEECH.

Embedding time warping in exemplar-based sparse representations of speech

Hugo Van hamme, Emre Yilmaz, Jort F. Gemmeke, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Missing Data Solutions for Robust Speech Recognition

Hugo Van hamme, Kris Demuynck, Yujun Wang, 2013, Essential Speech and Language Technology for Dutch.

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data

Hugo Van hamme, Bert Cranen, Maarten Van Segbroeck, 2011, Robust Speech Recognition of Uncertain or Missing Data.

Noise robust ASR: Missing data techniques and beyond

Jort Gemmeke, J. Gemmeke, 2006 .

Exemplar-Based Processing for Speech Recognition: An Overview

Tara N. Sainath, Bhuvana Ramabhadran, Jerome R. Bellegarda, 2012, IEEE Signal Processing Magazine.

Exemplar-based processing for speech recognition

Bhuvana Ramabhadran, Jerome R. Bellegarda, Dirk Van Compernolle, 2012 .

An exemplar-based NMF approach to audio event detection

Bart Vanrumste, Hugo Van hamme, Peter Karsmakers, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Self-taught assistive vocal interfaces: an overview of the ALADIN project

Bart Vanrumste, Walter Daelemans, Hugo Van hamme, 2013, INTERSPEECH.

Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning

Walter Daelemans, Hugo Van hamme, Joris Driesen, 2012, SMIAE@ACL.

Towards shallow grammar induction for an adaptive assistive vocal interface : a concept tagging approach

Walter Daelemans, Hugo Van hamme, Peter Karsmakers, 2012 .

Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees

Marian Verhelst, Wannes Meert, Steven Lauwereins, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Sparse imputation for noise robust speech recognition using soft masks

Bert Cranen, Jort F. Gemmeke, J. Gemmeke, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Using sparse representations for missing data imputation in noise robust speech recognition

Bert Cranen, Jort F. Gemmeke, J. Gemmeke, 2008, 2008 16th European Signal Processing Conference.

Noise robust exemplar-based connected digit recognition

Tuomas Virtanen, Jort F. Gemmeke, T. Virtanen, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Acquisition of ordinal words using weakly supervised NMF

Hugo Van hamme, Bart Ons, Jort F. Gemmeke, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback–Leibler Divergence

Meng Sun, Xiongwei Zhang, Yinan Li, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Compositional Models for Audio Processing: Uncovering the structure of sound mixtures

Bhiksha Raj, Paris Smaragdis, Tuomas Virtanen, 2015, IEEE Signal Processing Magazine.

The self-taught vocal interface

Hugo Van hamme, Bart Ons, Jort F. Gemmeke, 2014, 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA).

Active-Set Newton Algorithm for Overcomplete Non-Negative Representations of Audio

Bhiksha Raj, Tuomas Virtanen, Jort F. Gemmeke, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Data selection for noise robust exemplar matching

Hugo Van hamme, Emre Yilmaz, Jort F. Gemmeke, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Author ' s personal copy Detecting irregular orbits in gravitational N-body simulations

J. Gemmeke, S. Zwart, C. Kruip, 2006 .

Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition

Hugo Van hamme, Lou Boves, Bert Cranen, 2010, IEEE Journal of Selected Topics in Signal Processing.

Exploiting local and global structures for TIMIT phone classification

Louis ten Bosch, Lou Boves, Bert Cranen, 2011, 2011 19th European Signal Processing Conference.

Globality-Locality Consistent Discriminant Analysis for Phone Classification

Louis ten Bosch, Lou Boves, Bert Cranen, 2011, INTERSPEECH.

Noise robust digit recognition using sparse representations

B. Cranen, J. F. Gemmeke, J. Gemmeke, 2008 .

AN MFCC-GMM APPROACH FOR EVENT DETECTION AND CLASSIFICATION

P. Karsmakers, B. Vanrumste, J. F. Gemmeke, 2013 .

Techniques for Noise Robustness in Automatic Speech Recognition

Ulpu Remes, Jort F. Gemmeke, J. Gemmeke, 2012 .

Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition

Tuomas Virtanen, Antti Hurmalainen, Jort F. Gemmeke, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Exemplar-based speech enhancement for deep neural network based automatic speech recognition

Hugo Van hamme, Tuomas Virtanen, Deepak Baby, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ACQUISITION OF ORDINAL WORDS USING WEAKLY NMF

H. V. hamme, J. Gemmeke, B. Ons, 2015 .

Toward a practical implementation of exemplar-based noise robust ASR

Tuomas Virtanen, Yang Sun, Antti Hurmalainen, 2011, 2011 19th European Signal Processing Conference.

Fast vocabulary learning for disordered speech vocal interfaces

Stuart Cunningham, Jort F. Gemmeke, Siddharth Sehgal, 2014 .

A Self-Learning Assistive Vocal Interface Based on Vocabulary Learning and Grammar Induction

Walter Daelemans, Hugo Van hamme, Joris Driesen, 2012, INTERSPEECH.

Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models pdf

Walter Daelemans, Hugo Van hamme, Bart Ons, 2019, ArXiv.

An evaluation of unsupervised acoustic model training for a dysarthric speech interface

Hugo Van hamme, Reinhold Häb-Umbach, Bart Ons, 2014, INTERSPEECH.

Sparse imputation for large vocabulary noise robust ASR

Bert Cranen, Ulpu Remes, Jort F. Gemmeke, 2011, Comput. Speech Lang..

AN EXEMPLAR-BASED NMF APPROACH FOR AUDIO EVENT DETECTION

H. V. hamme, J. Gemmeke, L. Vuegen, 2013 .

Large-scale audio event discovery in one million YouTube videos

Aren Jansen, Daniel P. W. Ellis, Xiaofeng Liu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Weakly supervised keyword learning using sparse representations of speech

Hugo Van hamme, Joris Driesen, Jort F. Gemmeke, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Missing data imputation using compressive sensing techniques for connected digit recognition

Bert Cranen, Jort Gemmeke, J. Gemmeke, 2009, 2009 16th International Conference on Digital Signal Processing.

TR01: Time-continuous Sparse Imputation pdf

Bert Cranen, Jort F. Gemmeke, J. Gemmeke, 2009, ArXiv.

Using sparse representations for exemplar based continuous digit recognition

Louis ten Bosch, Lou Boves, Bert Cranen, 2009, 2009 17th European Signal Processing Conference.

Noise Robust Exemplar Matching Using Sparse Representations of Speech

Hugo Van hamme, Emre Yilmaz, Jort F. Gemmeke, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Feature enhancement of reverberant speech by distribution matching and non-negative matrix factorization

Heikki Kallasjoki, K. Palomäki, Guy J. Brown, 2015, EURASIP Journal on Advances in Signal Processing.

The 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011

Ulpu Remes, Tuomas Virtanen, Kalle J. Palomäki, 2011, ISCA 2011.

Comparing and combining classifiers for self-taught vocal interfaces

Hugo Van hamme, Jort F. Gemmeke, Lize Broekx, 2013, SLPAT.

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features

Hugo Van hamme, Tom Barker, Tuomas Virtanen, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

Tuomas Virtanen, Deepak Baby, Jort F. Gemmeke, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Missing-Data Techniques: Feature Reconstruction

Ulpu Remes, Jort F. Gemmeke, J. Gemmeke, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.