Tracking of speech parameters using ARMA analysis techniques. - Johan de Veth; Louis Boves (ECST, 1987)

Robust ARMA analysis for accurate determination of system parameters of the voice source and vocal tract. - Johan de Veth; W. van Golstein Brouwers; Louis Boves (EUROSPEECH, 1989)

Robust ARMA analysis as an aid in developing parameter control rules for a pole-zero cascade speech synthesizer. - Johan de Veth; W. van Golstein Brouwers; H. Loman; Lou Boves (ICASSP, 1990)

Extraction of control parameters for the voice source in a text-to-speech system. - Johan de Veth; Bert Cranen; Helmer Strik; Lou Boves (ICASSP, 1990)

The analysis of Dutch nasal consonants using robust ARMA analysis: consequences for rule development in speech synthesis. - H. Loman; Johan de Veth; Lou Boves (ICASSP, 1991)

Limited parameter hidden Markov models for connected digit speaker verification over telephone channels. - Johan de Veth; Guido Gallopyn; Hervé Bourlard (ICASSP (2), 1993)

Speaker verification over telephone channels based on concatenated phonemic hidden Markov models. - Johan de Veth; Guido Gallopyn; Hervé Bourlard (EUROSPEECH, 1993)

Comparison of hidden Markov model techniques for automatic speaker verification in real-world conditions. - Johan de Veth; Hervé Bourlard (Speech Commun., 1995)

Comparison of channel normalisation techniques for automatic speech recognition over the phone. - Johan de Veth; Lou Boves (ICSLP, 1996)

Phase-corrected RASTA for automatic speech recognition over the phone. - Johan de Veth; Louis Boves (ICASSP, 1997)

The use of broad phonetic class models in speaker recognition. - Johan Koolwaaij; Johan de Veth (ICSLP, 1998)

Effectiveness of phase-corrected rasta for continuous speech recognition. - Johan de Veth; Lou Boves (ICSLP, 1998)

Acoustic backing-off in the local distance computation for robust automatic speech recognition. - Johan de Veth; Bert Cranen; Lou Boves (ICSLP, 1998)

Channel normalization techniques for automatic speech recognition over the telephone. - Johan de Veth; Lou Boves (Speech Commun., 1998)

Acoustic pre-processing for optimal effectivity of missing feature theory. - Johan de Veth; Bert Cranen; Febe de Wet; Lou Boves (EUROSPEECH, 1999)

Comparing acoustic features for robust ASR in fixed and cellular network applications. - Febe de Wet; Bert Cranen; Johan de Veth; Louis Boves (ICASSP, 2000)

Noise reduction for noise robust feature extraction for distributed speech recognition. - Bernhard Noé; Jürgen Sienel; Denis Jouvet; Laurent Mauuary; Johan de Veth; Lou Boves; Febe de Wet (INTERSPEECH, 2001)

Feature vector selection to improve ASR robustness in noisy conditions. - Johan de Veth; Laurent Mauuary; Bernhard Noé; Febe de Wet; Jürgen Sienel; Lou Boves; Denis Jouvet (INTERSPEECH, 2001)

A comparison of LPC and FFT-based acoustic features for noise robust ASR. - Febe de Wet; Bert Cranen; Johan de Veth; Lou Boves (INTERSPEECH, 2001)

Acoustic backing-off as an implementation of missing feature theory. - Johan de Veth; Bert Cranen; Lou Boves (Speech Commun., 2001)

Acoustic features and a distance measure that reduce the impact of training-test mismatch in ASR. - Johan de Veth; Febe de Wet; Bert Cranen; Lou Boves (Speech Commun., 2001)

ASR in a human word recognition model: generating phonemic input for shortlist. - Odette Scharenborg; Lou Boves; Johan de Veth (INTERSPEECH, 2002)

Accumulated kullback divergence for analysis of ASR performance in the presence of noise. - Febe de Wet; Johan de Veth; Bert Cranen; Lou Boves (INTERSPEECH, 2002)

The impact of spectral and energy mismatch on the Aurora2 digit recognition task. - Febe de Wet; Johan de Veth; Bert Cranen; Louis Boves (ICASSP (2), 2003)

On the efficiency of classical RASTA filtering for continuous speech recognition: Keeping the balance between acoustic pre-processing and acoustic modelling. - Johan de Veth; Lou Boves (Speech Commun., 2003)

Active perception: using a priori knowledge from clean speech models to ignore non-target features. - Bert Cranen; Johan de Veth (INTERSPEECH, 2004)

Longer-length acoustic units for continuous speech recognition. - Annika Hämäläinen; Johan de Veth; Lou Boves (EUSIPCO, 2005)

Trajectory clustering for automatic speech recognition. - Yan Han; Johan de Veth; Louis Boves (EUSIPCO, 2005)

Speech trajectory clustering for improved speech recognition. - Yan Han; Johan de Veth; Lou Boves (INTERSPEECH, 2005)

Additive background noise as a source of non-linear mismatch in the cepstral and log-energy domain. - Febe de Wet; Johan de Veth; Lou Boves; Bert Cranen (Comput. Speech Lang., 2005)

On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling. - Annika Hämäläinen; Lou Boves; Johan de Veth; Louis ten Bosch (EURASIP J. Audio Speech Music. Process., 2007)

Trajectory Clustering for Solving the Trajectory Folding Problem in Automatic Speech Recognition. - Yan Han; Johan de Veth; Lou Boves (IEEE Trans. Speech Audio Process., 2007)