Jean-Pierre Martens

Jean-Pierre Martens, Jan P. Verhasselt, J. Martens, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

The COST278 broadcast news segmentation and speaker clustering evaluation - overview, methodology, systems, results

João Paulo da Silva Neto, Carmen García-Mateo, Laura Docío Fernández, 2005, INTERSPEECH.

AUDIO CHORD EXTRACTION USING A PROBABILISTIC MODEL

Jean-Pierre Martens, Johan Pauwels, Matthias Varewyck, 2009 .

A Practical Approach to Model Selection for Support Vector Machines With a Gaussian Kernel

Jean-Pierre Martens, Matthias Varewyck, J. Martens, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Efficient implementation of heuristic search

Jean-Pierre Martens, Nick Cremelie, 1994 .

Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction

Marc Leman, Jean-Pierre Martens, Johan Pauwels, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

On the application of reservoir computing networks for noisy image recognition

Wesley De Neve, Jean-Pierre Martens, Kris Demuynck, 2018, Neurocomputing.

The MAMI query-by-voice experiment: collecting and annotating vocal queries for music information retrieval

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2003, ISMIR.

Improving proper name recognition by means of automatically learned pronunciation variants

Jean-Pierre Martens, Henk van den Heuvel, Bert Réveil, 2012, Speech Commun..

Data-driven lexical modeling of pronunciation variations for ASR

Qian Yang, Jean-Pierre Martens, 2000, INTERSPEECH.

A Simulated Annealing Optimization of Audio Features for Drum Classification

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2005, ISMIR.

Computing scores of voice quality and speech intelligibility in tracheoesophageal speech for speech stimuli of varying lengths

Jean-Pierre Martens, R. J. J. H. van Son, Renee Peje Clapham, 2016, Comput. Speech Lang..

Broad Phonetic Classification and Segmentation by means of Neural Networks and Dynamic Programming. Speech Communications, 1991, Vol. 10, pp. 81-90.

Jean-Pierre Martens, L Depuydt, 1991 .

Generation of Word Pronunciation Networks from automatically learned Inter-Word Coarticulation Rules

Jean-Pierre Martens, Nick Cremelie, 1996 .

Corpus‐based Development of Prosodic Models Across Six Languages

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 2002 .

Objective intelligibility assessment of pathological speakers

Jean-Pierre Martens, Gwen Van Nuffelen, Marc De Bodt, 2008, INTERSPEECH.

A Hybrid Segment-Based system for phone and word recognition

Jean-Pierre Martens, Nick Cremelie, Jan Verhasselt, 1998 .

Automatic segmentation and labelling of multi-lingual speech data

Jean-Pierre Martens, B. Van Coile, A Vorstermans, 1996, Speech Commun..

Robust language recognition via adaptive language factor extraction

Jean-Pierre Martens, Kris Demuynck, Brecht Desplanques, 2014, INTERSPEECH.

Experiences from the Spoken Dutch Corpus Project

Lou Boves, Nelleke Oostdijk, Michael Moortgat, 2002, LREC.

Dealing with cross-lingual aspects in spoken name recognition

Jean-Pierre Martens, Frederik Stouten, J. Martens, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Orthographic Transcription of the Spoken Dutch Corpus

Jean-Pierre Martens, Wim Goedertier, Simo M. A. Goddijn, 2000, LREC.

A fast, accurate and stream-based speaker segmentation and clustering algorithm

Jean-Pierre Martens, An Vandecatseye, 2003, INTERSPEECH.

Factors affecting music retrieval in query-by-melody

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2006, IEEE Transactions on Multimedia.

Recognition of noisy speech using an auditory model

Halewijn Vereecken, Jean-Pierre Martens, 1995, EUROSPEECH.

Phoneme Recognition with Large Hierarchical Reservoirs

Benjamin Schrauwen, Jean-Pierre Martens, Azarakhsh Jalalvand, 2010, NIPS.

Benefits of disfluency detection in spontaneous speech recognition

Jean-Pierre Martens, Frederik Stouten, 2004 .

Discovering Structure and Repetition in Musical Audio

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2002 .

Tree-based versus distance-based key recognition in musical audio

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2005, Soft Comput..

Designing prosodic databases for automatic modelling in 6 languages

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 1998, SSW.

A new dynamic programming/multi-layer perceptron hybrid for continuous speech recognition

Jean-Pierre Martens, Nick Cremelie, Annemie Vorstermans, 1993, EUROSPEECH.

Speech recognition with phonological features: some issues to attend

Jean-Pierre Martens, Frederik Stouten, 2006, INTERSPEECH.

Speaker-independent Phone Recognition with a Dynamic Programming / Multi-layer Perception System. P.oc. of the ProRISC Workshop on Circuits, Systems and Signal Processing, maart 1993, pp. 335-340, Houthalen, 1993.

Jean-Pierre Martens, Nick Cremelie, A Vorstermans, 1993 .

Collecting Ground Truth Annotations for Drum Detection in Polyphonic Music

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2005, ISMIR.

Combining Phonological and Acoustic ASR-Free Features for Pathological Speech Intelligibility Assessment

Elmar Nöth, Jean-Pierre Martens, Tobias Bocklet, 2011, INTERSPEECH.

A comparison of human and automatic musical genre classification

Jean-Pierre Martens, Tom De Mulder, Stefaan Lippens, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Improving the phonetic annotation by means of prosodic phrasing

Halewijn Vereecken, Jean-Pierre Martens, Bert Van Coile, 1997, EUROSPEECH.

A Spoken Afrikaans Language Resource Designed for Research on Pronunciation Variations

Jean-Pierre Martens, Wim Goedertier, Daan Wissing, 2004, LREC.

DIA: a tool for objective intelligibility assessment of pathological speech

Jean-Pierre Martens, Gwen Van Nuffelen, Marc De Bodt, 2009, MAVEBA.

Can Non-Linear Readout Nodes Enhance the Performance of Reservoir-Based Speech Recognizers?

Jean-Pierre Martens, Fabian Triefenbach, J. Martens, 2011, 2011 First International Conference on Informatics and Computational Intelligence.

Coping with disfluencies in spontaneous speech recognition

Jean-Pierre Martens, Frederik Stouten, 2004, INTERSPEECH.

Automatic labeling of speech synthesis corpora

Jean-Pierre Martens, Annemie Vorstermans, 1994, ICSLP.

A stochastically motivated random initialization of pattern classifying MLPs

Jean-Pierre Martens, 2004, Neural Processing Letters.

Soft VAD in Factor Analysis Based Speaker Segmentation of Broadcast News

Jean-Pierre Martens, Kris Demuynck, Brecht Desplanques, 2016, Odyssey.

Connected Digit Recognition by Means of Reservoir Computing

Jean-Pierre Martens, David Verstraeten, Azarakhsh Jalalvand, 2011, INTERSPEECH.

Support Vector Machines for Bass and Snare Drum Recognition

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2004, GfKl.

In Search of Pronunciation Rules

Jean-Pierre Martens, Nick Cremelie, 1998 .

Lexical Modeling for Proper name Recognition in Autonomata Too

Marijn Schraagen, Jean-Pierre Martens, Henk van den Heuvel, 2013, Essential Speech and Language Technology for Dutch.

Acoustic-phonetic decoding using a transition controlled neural net

Jean-Pierre Martens, Jan P. Verhasselt, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Assessing the importance of the segmentation probability in segment-based speech recognition

Yifan Gong, Jean-Pierre Martens, Jean Paul Haton, 1998, Speech Commun..

An auditory model based transriber of vocal queries

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2003, ISMIR.

An auditory based transcription of singing sequences.

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2002 .

Reducing speech recognition time and memory use by means of compound (de-)composition

Jean-Pierre Martens, Bert Réveil, 2008 .

Intonation modelling for the synthesis of structured documents

Jean-Pierre Martens, Bert Van Coile, Lieve Macken, 2002, INTERSPEECH.

A User-Oriented Approach to Music Information Retrieval

Marc Leman, Jean-Pierre Martens, Micheline Lesaffre, 2006, Content-Based Retrieval.

Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon

Jean-Pierre Martens, Henk van den Heuvel, Bert Réveil, 2010, LREC.

The COST278 Pan-European Broadcast News Database

João Paulo da Silva Neto, Carmen García-Mateo, France Mihelic, 2004, LREC.

Pronunciation-based ASR for names

Jean-Pierre Martens, Henk van den Heuvel, Bert Réveil, 2009, INTERSPEECH.

Time synchronous heuristic search in a stochastic segment based recognizer

Jean-Pierre Martens, Nick Cremelie, 1994, ICSLP.

Resources Developed in the Autonomata Projects

Qian Yang, Marijn Schraagen, Jean-Pierre Martens, 2013, Essential Speech and Language Technology for Dutch.

Integrating Musicological Knowledge into a Probabilistic Framework for Chord and Key Extraction

Jean-Pierre Martens, Johan Pauwels, 2010 .

Effects of Architecture Choices on Sparse Coding in Speech Recognition

Benjamin Schrauwen, Jean-Pierre Martens, Fabian Triefenbach, 2012, ICANN.

Improved Broad Phonetic Classification and Segmentation with an Auditory Model

Jean-Pierre Martens, L. Depuydt, L. Van Immerseel, 1992 .

Recognition of foreign names spoken by native speakers

Jean-Pierre Martens, Frederik Stouten, 2007, INTERSPEECH.

Noise robust continuous digit recognition with reservoir-based acoustic models

Jean-Pierre Martens, Kris Demuynck, Azarakhsh Jalalvand, 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

On the initialization and optimization of multilayer perceptrons

Jean-Pierre Martens, Nico Weymaere, J. Martens, 1994, IEEE Trans. Neural Networks.

How speaker tongue and name source language affect the automatic recognition of spoken names

Bart D'hoore, Jean-Pierre Martens, Bert Réveil, 2009, INTERSPEECH.

Improving the key extraction performance of a simultaneous local key and chord estimation system

Marc Leman, Jean-Pierre Martens, Johan Pauwels, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Hard-Testing the Multi-stream Approach to Automatic Speech Recognition

Jean-Pierre Martens, Vitor Pera, 2003, TSD.

Feature enhancement with a Reservoir-based Denoising Auto Encoder

Jean-Pierre Martens, Kris Demuynck, Azarakhsh Jalalvand, 2013, IEEE International Symposium on Signal Processing and Information Technology.

Speech technology based assessment of dysarthric speech: preliminary results

Jean-Pierre Martens, Gwen Van Nuffelen, Marc De Bodt, 2007 .

A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition

Marc Leman, Jean-Pierre Martens, Benoit Catteau, 2006, GfKl.

Feature subset selection for improved native accent identification

Dirk Van Compernolle, Jean-Pierre Martens, Jacques Duchateau, 2010, Speech Commun..

Analog switched-capacitor filter bank for audio signal processing.

Jean-Pierre Martens, Alexis De Vos, A Kubiak, 1999 .

Classification of Percussive Sounds using Support Vector Machines

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2004 .

An Auditory Model Based Transcriber of Singing Sequences

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2002, ISMIR.

Adaptive speaker diarization of broadcast news based on factor analysis

Jean-Pierre Martens, Kris Demuynck, Brecht Desplanques, 2017, Comput. Speech Lang..

The AUTONOMATA Spoken Names Corpus

Bart D'hoore, Jean-Pierre Martens, Henk van den Heuvel, 2008, LREC.

Noise suppression and loudness normalization in an auditory model-based acoustic front-end

Halewijn Vereecken, Jean-Pierre Martens, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Data driven intonation modelling of 6 languages

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 2000, INTERSPEECH.

Towards an ASR-free objective analysis of pathological speech

Yvan Saeys, Jean-Pierre Martens, Catherine Middag, 2010, INTERSPEECH.

User behavior in the spontaneous reproduction of musical pieces by vocal query

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2003 .

Dutch text-to-speech aids for the vocally handicapped

Jean-Pierre Martens, Bert Van Coile, 1989, EUROSPEECH.

The integration of a metadata generation framework in a music annotation workflow

Erik Duval, Sten Govaerts, Jean-Pierre Martens, 2009 .

A minimum classification error approach to pronunciation variation modeling of non-native proper names

Jean-Pierre Martens, Torbjørn Svendsen, Bert Réveil, 2010, INTERSPEECH.

Heuristic Search Methods for a Segment Based Continuous Speech Recognizer

Jean-Pierre Martens, Nick Cremelie, 1995 .

Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition

Jean-Pierre Martens, Kris Demuynck, Azarakhsh Jalalvand, 2013, INTERSPEECH.

Improved broad phonetic classification and segmentation with a neural network and a new auditory model

Jean-Pierre Martens, Nico Weymaere, Lieven Depuydt, 1990, ICSLP.

A feature-based filled pause detection system for Dutch

Jean-Pierre Martens, Frederik Stouten, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

Spectral change representation and feature selection for accent identification tasks

Qian Yang, Dirk Van Compernolle, Jean-Pierre Martens, 2004 .

Towards using Reservoir Computing Networks for noise-robust image recognition

Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

In search of better pronunciation models for speech recognition

Jean-Pierre Martens, Nick Cremelie, 1999, Speech Commun..

Expressive Body Movement Responses to Music Are Coherent, Consistent, and Low Dimensional

Marc Leman, Jean-Pierre Martens, Denis Amelynck, 2014, IEEE Transactions on Cybernetics.

Development of a phoneme-to-phoneme (p2p) converter to improve the grapheme-to-phoneme (g2p) conversion of names

Qian Yang, Jean-Pierre Martens, Henk van den Heuvel, 2006, LREC.

Prosodic variation with text type

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 2000, INTERSPEECH.

Assessment of State-of-the-Art Meter Analysis Systems with an Extended Meter Description Model

Jean-Pierre Martens, Matthias Varewyck, 2007, ISMIR.

Automated Intelligibility Assessment of Pathological Speech Using Phonological Features

Jean-Pierre Martens, Gwen Van Nuffelen, Marc De Bodt, 2009, EURASIP J. Adv. Signal Process..

The Surprising Character of Music: A Search for Sparsity in Music Evoked Body Movements

Marc Leman, Jean-Pierre Martens, Denis Amelynck, 2014, ECDA.

Improving large vocabulary continuous speech recognition by combining GMM-based and reservoir-based acoustic modeling

Jean-Pierre Martens, Kris Demuynck, Fabian Triefenbach, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

FULL SCALE MEASUREMENTS OF WAVE ATTENUATION INSIDE A RUBBLE MOUND BREAKWATER

Julien De Rouck, Peter A. Troch, Jean-Pierre Martens, 1997 .

User-dependent taxonomy of musical features as a conceptual framework for musical audio-mining technology

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2003 .

Robust automatic intelligibility assessment techniques evaluated on speakers treated for head and neck cancer

Jean-Pierre Martens, R. J. J. H. van Son, Renee Peje Clapham, 2014, Comput. Speech Lang..

Annotation of prominent words, prosodic boundaries and segmental lengthening by non-expert transcribers in the Spoken Dutch Corpus

Marc Swerts, Jean-Pierre Martens, Vincent J. van Heuven, 2002, LREC.

Neural network classifiers under changing a priori conditions

Jean-Pierre Martens, Nico Weymaere, 1993 .

Beating-Time Gestures Imitation Learning for Humanoid Robots

Marc Leman, Jean-Pierre Martens, Denis Amelynck, 2017, EAI Endorsed Trans. Creative Technol..

Methodological Considerations Concerning Manual Annotation Of Musical Audio In Function Of Algorithm Development

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2004, ISMIR.

Musical Meter Classification with Beat Synchronous Acoustic Features, DFT-based Metrical Features and Support Vector Machines

Marc Leman, Jean-Pierre Martens, Matthias Varewyck, 2013 .

Developing automatic articulation, phonation and accent assessment techniques for speakers treated for advanced head and neck cancer

Jean-Pierre Martens, R. J. J. H. van Son, Renee Peje Clapham, 2014, Speech Commun..

Automatic transcription and normalisation of speech

Walter Daelemans, Patrick Wambacq, Frank Van Eynde, 2002 .

An auditory model based on the analysis of envelope patterns

Jean-Pierre Martens, Luc Van Immerseel, L. V. Immerseel, 1990, International Conference on Acoustics, Speech, and Signal Processing.

TTNWW to the rescue: no need to know how to handle tools and resources

Marc Kemps-Snijders, Joris Pelemans, Patrick Wambacq, 2017 .

How potential users of music search and retrieval systems describe the semantic quality of music

Bernard De Baets, Jean-Pierre Martens, Micheline Lesaffre, 2008, J. Assoc. Inf. Sci. Technol..

Pronunciation variation modeling for ASR : large improvements are possible but small ones are likely to achieve

Qian Yang, Dirk Van Compernolle, Jean-Pierre Martens, 2002 .

The Influence of Chord Duration Modeling on Chord and Local Key Extraction

Marc Leman, Jean-Pierre Martens, Johan Pauwels, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Factor analysis for speaker segmentation and improved speaker diarization

Jean-Pierre Martens, Kris Demuynck, Brecht Desplanques, 2015, INTERSPEECH.

Design of reservoir computing systems for noise-robust speech and handwriting recognition

Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens, 2015 .

Design and initialization of two-layer perceptrons using standard pattern recognition techniques

Jean-Pierre Martens, N. Weymaere, 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

Broad phonetic classification and segmentation of continuous speech by means of neural networks and dynamic programming

Jean-Pierre Martens, Lieven Depuydt, 1991, Speech Commun..

Recent improvements of an auditory model based front-end for the transcription of vocal queries

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Combining Joint Factor Analysis and iVectors for Robust Language Recognition

Jean-Pierre Martens, Kris Demuynck, Brecht Desplanques, 2014, Odyssey.

Long term follow-up of patients with spasmodic dysphonia

Philippe H. Dejonckere, Jean-Pierre Martens, Mieke B. J. Moerman, 2009, MAVEBA.

Noise Suppression and Acoustic Model Controlled Loudness Mean Normalization in an Auditory Model-Based Acoustic Front-End

Halewijn Vereecken, Jean-Pierre Martens, Jan Verhasselt, 1997 .

Fast automatic segmentation and labeling: results on TIMIT and EUROMO

Jean-Pierre Martens, Bert Van Coile, A. Vorstermanst, 1995, EUROSPEECH.

The variation of prosody with text type

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 2000 .

A fast and robust learning algorithm for feedforward neural networks

Jean-Pierre Martens, Nico Weymaere, J. Martens, 1991, Neural Networks.

Automatic Labeling of Corpora for Speech Synthesis Development

Jean-Pierre Martens, A Vorstermans, J. Martens, 1994 .

Acoustic Modeling With Hierarchical Reservoirs

Jean-Pierre Martens, Kris Demuynck, Azarakhsh Jalalvand, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Automatic prosodic labeling of 6 languages

Justin Fackrell, Halewijn Vereecken, Jean-Pierre Martens, 1998, ICSLP.

On the use of pronunciation rules for improved word recognition

Jean-Pierre Martens, Nick Cremelie, 1995, EUROSPEECH.

G2p conversion of names: what can we do (better)?

Jean-Pierre Martens, Henk van den Heuvel, Nanneke Konings, 2007, INTERSPEECH.

Continuous Digit Recognition in Noise: Reservoirs can do an excellent job!

Jean-Pierre Martens, Azarakhsh Jalalvand, Fabian Triefenbach, 2012, INTERSPEECH.

A fast and reliable rate of speech detector

Jean-Pierre Martens, Jan P. Verhasselt, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

A novel chroma representation of polyphonic music based on multiple pitch tracking techniques

Jean-Pierre Martens, Johan Pauwels, Matthias Varewyck, 2008, ACM Multimedia.

An improved two-stage mixed language model approach for handling out-of-vocabulary words in large vocabulary continuous speech recognition

Jean-Pierre Martens, Kris Demuynck, Bert Réveil, 2014, Comput. Speech Lang..

Automatic rule-based generation of word pronunciation networks

Jean-Pierre Martens, Nick Cremelie, 1997, EUROSPEECH.

Coping with disfluencies in spontaneous speech recognition: Acoustic detection and linguistic context manipulation

Patrick Wambacq, Jean-Pierre Martens, Jacques Duchateau, 2006, Speech Commun..

Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models

Jean-Pierre Martens, Kris Demuynck, Fabian Triefenbach, 2014, IEEE Signal Processing Letters.

Improved Broad Phonetic Classification in Speech Recognition and Segmentation with an Auditory Model. Speech Recognition and Understanding: recent Advances, Trends and Applications, Edt. Laface, 1991, pp. 305-310.

Jean-Pierre Martens, L Depuydt, L. Van Immerseel, 1991 .

Musical Audio Mining

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2002 .

Phone recognition using a transition-controlled, segment-based dp/mlp hybrid

Jean-Pierre Martens, Jan P. Verhasselt, 1994, ICSLP.

Model-based speech/non-speech segmentation of a heterogeneous multilingual TV broadcast collection

Jean-Pierre Martens, Brecht Desplanques, 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features

Elmar Nöth, Tino Haderlein, Florian Hönig, 2015, TSD.

Robust continuous digit recognition using Reservoir Computing

Jean-Pierre Martens, Kris Demuynck, Azarakhsh Jalalvand, 2015, Comput. Speech Lang..

On The Use of Phonological Features for Pronunciation Scoring

Jean-Pierre Martens, Frederik Stouten, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Perceptually Motivated Scoring of Musical Meter Classification Algorithms

Jean-Pierre Martens, Matthias Varewyck, 2010 .

Speech Recognition Using a Discriminative, Context-Independent, Segment-Based Speech Recognizer

Jean-Pierre Martens, Jan Verhasselt, Bart Baeyens, 1996 .

Visualization of Intelligibility Measured by Language-Independent Features

Elmar Nöth, Andreas K. Maier, Tino Haderlein, 2014, TSD.

G 2 P conversion of names . What can we do ( better ) ?

Jean-Pierre Martens, Nanneke Konings, J. Martens, 2007 .

Spasmodic dysphonia, perceptual and acoustic analysis: presenting new diagnostic tools

Jean-Pierre Martens, Philippe Dejonckere, Dirk Deuster, 2009, European Archives of Oto-Rhino-Laryngology.

Objective evaluation of the quality of substitution voices

Jean-Pierre Martens, J. Martens, M. Moerman, 2004, European Archives of Oto-Rhino-Laryngology and Head & Neck.

Application of the Voice Handicap Index in 45 patients with substitution voicing after total laryngectomy

Jean-Pierre Martens, Philippe Dejonckere, P. Dejonckere, 2004, European Archives of Oto-Rhino-Laryngology and Head & Neck.

Combining Musicological Knowledge About Chords and Keys in a Simultaneous Chord and Local Key Estimation System

Jean-Pierre Martens, Johan Pauwels, 2014 .

Multidimensional assessment of strongly irregular voices such as in substitution voicing and spasmodic dysphonia: A compilation of own research

Jean-Pierre Martens, Philippe Dejonckere, P. Dejonckere, 2015, Logopedics, phoniatrics, vocology.

Distance-based versus Tree-based Key Recognition in Musical Audio

Marc Leman, Jean-Pierre Martens, Micheline Lesaffre, 2003 .

How potential users of music search and retrieval systems describe the semantic quality of music

Marc Leman, Bernard De Baets, Jean-Pierre Martens, 2008 .

The INFVo perceptual rating scale for substitution voicing: development and reliability

Jean-Pierre Martens, Philippe Dejonckere, Virginie Woisard, 2006, European Archives of Oto-Rhino-Laryngology and Head & Neck.

Assessing a Clarinet Player's Performer Gestures in Relation to Locally Intended Musical Targets

Marc Leman, Luc Nijs, Jean-Pierre Martens, 2012 .