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% Selection : Author: Jacques_Koreman
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@InProceedings{Andreeva_et_al:1999,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques and Barry, William J.},
      TITLE = {On the Role of the Burst and Transitions for the Identification of Palatalized and Non-Palatalized Plosives in Bulgarian},
      YEAR = {1999},
      BOOKTITLE = {Proceedings of the 14th International Congress of Phonetic Sciences (ICPhS'99), August 1-7},
      ADDRESS = {San Francisco, USA},
      URL = {https://www.coli.uni-saarland.de/~koreman/Publications/1999/ICPhS99_BulgPal.ps.gz},
      ANNOTE = {COLIURL : Andreeva:1999:RBT.pdf Andreeva:1999:RBT.ps}
}

@InProceedings{Braun_et_al:2000,
      AUTHOR = {Braun, Bettina and Koreman, Jacques and Trouvain, Jürgen},
      TITLE = {The Effect of Accentuation on Vowel Recognition},
      YEAR = {2000},
      BOOKTITLE = {Prosody 2000 Workshop: Speech Recognition and Synthesis, October 2-5},
      ADDRESS = {Kraków, Poland},
      URL = {https://www.coli.uni-saarland.de/~trouvain/braun_et_al_00.ps.gz},
      ANNOTE = {COLIURL : Braun:2000:EAV.pdf}
}

@Article{Koreman:1995,
      AUTHOR = {Koreman, Jacques},
      TITLE = {The Effects of Stress and F0 on the Voice Source},
      YEAR = {1995},
      JOURNAL = {PHONUS},
      VOLUME = {1},
      PAGES = {105-120},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus1/Koreman_PHONUS1.ps.gz},
      ABSTRACT = {In this paper, we present data on the qualitative difference in the voice source characteristics in stressed versus unstressed syllables; for the unstressed syllables, we will further point out the qualitative differences dependent on high versus low F0 (fundamental frequency of the vocal fold vibrations). The voice source characteristics will be described in terms of a set of parameters extracted from the inverse filtered signal, consisting of the parameters OQ (open quotient), rk (pulse skewing), Ee (excitation strength), AC (peak-to-peak airflow) and DC offset (leak flow). We attempt to give a physiological explanation for our findings by comparing our data with those from other experiments, discussed in the literature. We also compare our findings with the predictions from modelling studies, and suggest some improvements of the phonation models to obtain a better correspondence between their predictions and our results. The physiological interpretation of our findings remains tentative, since no direct physiological measurements were made. Nevertheless we are able to propose a consistent explanation for the behaviour of the glottal parameter values that were observed.},
      ANNOTE = {Koreman:1995:ESF}
}

@PhdThesis{Koreman:1996,
      AUTHOR = {Koreman, Jacques},
      TITLE = {Decoding Linguistic Information in the Glottal Airflow},
      YEAR = {1996},
      ADDRESS = {Nijmegen},
      SCHOOL = {University of Nijmegen, Department of Language and Speech}
}

@InProceedings{Koreman_Andreeva:2000,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra},
      TITLE = {Phonetic features in ASR: A linguistic solution to acoustic variation?},
      YEAR = {2000},
      BOOKTITLE = {Proceedings of the 7th Conference on Laboratory Phonology (LabPhon7), June 29 -July 1},
      ADDRESS = {Nijmegen, Netherlands},
      ABSTRACT = {In most phonological theories, phonemes are considered as a set (or hierarchy) of (possibly underspecified) phonetic features, which are the minimal number of formal properties needed to distinguish the phonemes in the language system from each other. In most state-of-the-art automatic speech recognition (ASR) systems, however, phonetic features do not play any role. The statistical models for each phone or phoneme are based on a spectral parameterisation of the signals, like mel-frequency cepstral coefficients (MFCC's) and energy. Three questions are dealt with in this paper: Can we successfully bridge this gap between phonological theory and ASR by using phonetic features in ASR? Which phonetic feature set is most appropriate for ASR? Can we attain the same result by using more complex non-linguistic modelling? 1. PHONETIC FEATURES IN ASR To bridge the gap between phonologists' formal representation of the phoneme and the almost purely acoustic description of the signal used in ASR systems, we have used phonetic features to create statistical phone models for automatic speech recognition. The phonetic features were derived from the spectral representation of the signal used in most standard ASR systems (MFCC's + energy) by means of a neural network. Not only do we find a clear increase in the phoneme identification rate (see under 2 below) [1], the confusions between phonemes are also much easier to interpret, since phonemes which are confused are usually very similar in terms of the phonetic features they are made up of. This is not the case when acoustic parameters are used to create phoneme models [2]. 2. DIFFERENT PHONETIC FEATURE SETS It is not self-evident which set of phonetic features is most appropriate to describe phonological categories and the processes that operate on them, since the various feature theories have different phonological implications. To evaluate how appropriate the different feature sets are for application in an ASR system, we have used several different feature sets, both articulatory-phonetic (IPA) and phonological (SPE) [3]. We have so far compared the phoneme identification results for both underspecified and fully specified SPE features with those for the set of features used in the IPA to distinguish all phonemes. In addition, the results were compared to those in a standard ASR system using acoustic parameters (MFCC's) directly to create phone models. We found a clear improvement in the phoneme identification rate when phonetic features were used to model the phones, in comparison to directly using acoustic parameters. Underspecified SPE features led to the best performance (for multi-language Eurom0 data, without the use of a lexicon or language model) of all: acoustic parameters: 15.6% IPA features: 42.6% SPE features: 36.2% Underspecified SPE features: 46.1% In addition to the features sets reported so far, the phoneme identification results for articulatory features [4] will be reported and their relative merits will be discussed. 3. VARIATION MODELLING VERSUS LINGUISTIC MODELLING The acoustic-phonetic mapping in a neural network combines two advantages, namely 1) variation modelling: different acoustic realisations of the same phoneme (e.g. allophonic variants) can be discerned by the neural network 2) linguistic modelling: these different realisations are mapped onto more homogeneous, distinctive features Even if the neural network can reduce the variation in the input parameters for statistical modelling by mapping different acoustic realisations of a phoneme onto phonetic features, the question remains whether the same result can be reached by using a non-linguistic approach. Variation modelling can also be achieved by using more complex acoustic phoneme models (multiple mixtures per state in HMM), so that we do not necessarily have to make a mapping onto phonetic features to achieve this goal. A comparison of the performance of a standard system which does not use phonetic features with the performance of a system in which phonetic features are used to train the phoneme models shows the merits of using a signal representation derived from phonological theory.}
}

@Article{Koreman_et_al:1997,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J.},
      TITLE = {Relational Phonetic Features for Consonant Identification in a Hybrid ASR System},
      YEAR = {1997},
      JOURNAL = {PHONUS},
      VOLUME = {3},
      PAGES = {83-110},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus3/Koreman_PHONUS3.ps.gz},
      ABSTRACT = {In this article we discuss implementation of some fundamental phonetic ideas related to what we shall call relational processing in a cross-language consonant identification system. The term relational processing refers to the way vowel transitions play a role in the identification of neighbouring consonants. Two experiments are described: first, consonant identification results from a hidden Markov modelling experiment are presented for consonants plus the preceding and following vowel transitions, if present. The results are compared to a baseline experiment, in which the vowel transitions are not used in the identification of the consonants. In the second experiment, the acoustic parameters are first mapped onto phonetic features; this mapping is performed by a Kohonen network1. Since vowel transitions are considered to be particularly important for identification of the place of articulation of the neighbouring consonant, only the place features (and not the consonants' manner features or the phonetic features of the vowel to which the transitions belong) are derived for the vowel transitions. Separate hidden Markov models are trained for the consonants, for the vowel offset and vowel onset transitions which share all consonantal place-of-articulation features. Concatenations of these models form the phone-like recognition units (comparable to the concatenation of phone models for the recognition of words in a conventional ASR system) which are later used for consonant identification. The results are compared with a baseline experiment in which no acoustic-phonetic mapping is performed. The experiments show that relational processing improves the consonant identification results.},
      ANNOTE = {COLIURL : Koreman:1997:RPF.pdf}
}

@InProceedings{Koreman_et_al:1998,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J.},
      TITLE = {Die Abbildung Akustischer Parameter auf phonetische Merkmale in der automatischen Spracherkennung},
      YEAR = {1998},
      BOOKTITLE = {Computer, Linguistik und Phonetik zwischen Sprache und Sprechen : Tagungsband der 4. Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 98), 5. - 7. Oktober},
      VOLUME = {1},
      PAGES = {153-158},
      EDITOR = {Schröder, Bernhard and Lenders, Winfried and Hess, Wolfgang and Portele, Thomas},
      SERIES = {Sprache, Sprechen und Computer},
      ADDRESS = {Universität Bonn, Germany},
      PUBLISHER = {Lang, Peter}
}

@InProceedings{Koreman_et_al:1998_1,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J.},
      TITLE = {Do Phonetic Features Help to Improve Consonant Identification in ASR?},
      YEAR = {1998},
      BOOKTITLE = {5th International Conference on Spoken Language Processing (ICSLP '98), November 30 - December 4},
      PAGES = {paper 549},
      ADDRESS = {Sydney, Australia}
}

@InProceedings{Koreman_et_al:1998_2,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J.},
      TITLE = {Exploiting Transitions and Focussing on Linguistic Properties for ASR},
      YEAR = {1998},
      BOOKTITLE = {5th International Conference on Spoken Language Processing (ICSLP '98), November 30 - December 4},
      PAGES = {paper 548},
      ADDRESS = {Sydney, Australia}
}

@Article{Koreman_et_al:2000,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Erriquez, Attilio and Barry, William J.},
      TITLE = {Can we use the linguistic information in the signal?},
      YEAR = {2000},
      JOURNAL = {PHONUS},
      VOLUME = {5},
      PAGES = {47-58},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus5/Koreman_PHONUS5.pdf},
      ABSTRACT = {This article discusses the use of phonetic features in automatic speech recognition. The phonetic features are derived from acoustic parameters by means of Kohonen networks. Behind the use of phonetic features instead of standard acoustic parameters lies the assumption that it is useful to help the system to focus on linguistically relevant signal properties. Previous experiments using very simple hidden Markov models to represent the phones (with only one mixture for each state and without a lexicon or language model) have indeed shown that the phoneme identification rates on the basis of phonetic features were considerably higher than on the basis of acoustic parameters. When eight mixtures per state are used in hidden Markov modelling, the phoneme identification rates for three different sets of phonetic features were found to be lower than those obtained from a system in which the acoustic parameters are modelled directly. It is suggested that the results are still good enough, however, to further explore the use of phonetic features in a complete automatic speech recognition system: if each phone sequence representing a word in the lexicon is replaced by a sequence of underspecified phonetic feature vectors, the use of phonetic features in the acoustic decoding may have certain advantages.},
      ANNOTE = {COLIURL : Koreman:2000:CWU.pdf}
}

@InProceedings{Koreman_et_al:1999,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Strik, Helmer},
      TITLE = {Acoustic Parameters Versus Phonetic Features in ASR},
      YEAR = {1999},
      BOOKTITLE = {Proceedings of the 14th International Congress of Phonetic Sciences (ICPhS'99), August 1-7},
      ADDRESS = {San Francisco, USA},
      URL = {http://lands.let.kun.nl/literature/strik.1999.2.ps},
      ABSTRACT = {By mapping acoustic parameters onto phonetic features, it is possible to explicitly address the linguistic information in the signal. For the experiments presented in this paper, we mapped cepstral parameters onto two sets of phonetic features, one based on the IPA chart and the other on SPE. As a result, the phoneme identification rates in a hidden Markov modelling framework increase from 15.6% for the cepstral parameters to 42.3% and 31.7% for the IPA and SPE features, respectively. Furthermore, for phonetic features the resulting confusions between phonemes are often less severe from a phonetic point of view. The theoretical implications of the differences are addressed.},
      ANNOTE = {COLIURL : Koreman:1999:APV.pdf Koreman:1999:APV.ps}
}

@Article{Koreman_Pützer:1997,
      AUTHOR = {Koreman, Jacques and Pützer, Manfred},
      TITLE = {Finding Correlates of Vocal Fold Adduction Deficiencies},
      YEAR = {1997},
      JOURNAL = {PHONUS},
      VOLUME = {3},
      PAGES = {155-178},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus3/KoremanPuetzer_PHONUS3.ps.gz},
      ABSTRACT = {This paper presents first results from a pilot study in which a set of voice parameters are computed from the EGG and microphone signals. It is investigated which of the voice parameters can distinguish between 5 speaker groups. The speaker groups are divided into normal speakers, breathy speakers and speakers with an organic pathology. Some of the parameters can distinguish between (some of) the 5 groups regardless of speaker sex, whereas other parameter do so only for male or female voices. The results of this study can be useful for the derivation of parameters which can be used for instance for the evaluation of voice therapy; the results can also indicate parameters which should be given special attention in a pre-screening of speakers with a high risk of developing a voice pathology, since a change in these parameters between consultations at the ENT clinic may indicate a development towards a pathological voice. The main goal of this pilot study is not so much the derivation of these parameters, though, as the development of a methodology to find parameters which distinguish between the 5 speaker groups. The method is immediately applicable to the investigation of distinctions between other pathological groups.},
      ANNOTE = {COLIURL : Koreman:1997:FCV.pdf}
}

@InProceedings{Koreman_et_al:1999_1,
      AUTHOR = {Koreman, Jacques and Pützer, Manfred and Just, Manfred},
      TITLE = {Acoustic, Electroglottographic and Perceptual Correlates of Vocal Fold Adduction Deficiensies. Poster Presentation},
      YEAR = {1999},
      BOOKTITLE = {Workshop on Non-Modal Vocal-Fold Vibration and Voice Quality, Satellite Meeting of the 14th International Congress of Phonetic Sciences (ICPhS '99). July 31},
      ADDRESS = {UC Berkeley, San Francisco, USA}
}

@Article{Koreman_et_al:2004,
      AUTHOR = {Koreman, Jacques and Pützer, Manfred and Just, Manfred},
      TITLE = {Acoustic, Electroglottographic and Perceptual Correlates of Vocal Fold Adduction Deficiencies in Patients with Paralysis of the Recurrent Nerve},
      YEAR = {2004},
      JOURNAL = {Folia Phoniatr. Logop.},
      NOTE = {accepted}
}

@InProceedings{Meyer_et_al:1998,
      AUTHOR = {Meyer, Georg and Barry, William J. and Koreman, Jacques},
      TITLE = {Vowel Pre-Nasalization as a Cue for Auditory Scene Analysis},
      YEAR = {1998},
      BOOKTITLE = {NATO Advanced Study Institute on Computational Hearing, July 1 - July 12},
      PAGES = {233-238},
      ADDRESS = {Il Ciocco, Italy}
}

@InProceedings{Morris_et_al:1997,
      AUTHOR = {Morris, Andrew C. and Bloothooft, Gerrit and Barry, William J. and Andreeva, Bistra and Koreman, Jacques},
      TITLE = {Human and Machine Identification of Consonantal Place of Articulation from Vocalic Transition Segments},
      YEAR = {1997},
      BOOKTITLE = {5th European Conference on Speech Communication and Technology (EUROSPEECH '97), September 22-25},
      VOLUME = {4},
      PAGES = {2123-2126},
      EDITOR = {Kokkinakis, G. and Fakotakis, N. and Dermatas, E.},
      ADDRESS = {Rhodes, Greece}
}

@Article{Pützer_Koreman:1997,
      AUTHOR = {Pützer, Manfred and Koreman, Jacques},
      TITLE = {A German Database of Patterns of Pathological Vocal Fold Vibration},
      YEAR = {1997},
      JOURNAL = {PHONUS},
      VOLUME = {3},
      PAGES = {143-153},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus3/PuetzerKoreman_PHONUS3.ps.gz},
      ABSTRACT = {This paper presents a survey of a database of pathological voice qualities, collected in collaboration with the Department of Phoniatrics and ENT at the Caritas clinic St. Theresia in Saarbr.cken. The major part of this paper is devoted to a medical description of pathological voice qualities, but the recording procedure as well as the goal of the database collection will also be described. In particular, we hope that in the future it will be possible, on the basis of the present database, to relate properties of recorded voice signals to phoniatric diagnoses of voice pathologies.},
      ANNOTE = {COLIURL : Putzer:1997:GDP.pdf}
}

@Article{Rhie_et_al:1997,
      AUTHOR = {Rhie, Sung Ja and Barry, William J. and Koreman, Jacques},
      TITLE = {Syllable Structure and Duration in the Realisation of German Rhythm by Korean Learners},
      YEAR = {1997},
      JOURNAL = {PHONUS},
      VOLUME = {3},
      PAGES = {111-141},
      URL = {https://www.coli.uni-saarland.de/Phonetics/Research/PHONUS_research_reports/Phonus3/Rhie_PHONUS3.ps.gz},
      ABSTRACT = {Sentences read and imitated by four Korean learners of German, two advanced and two beginners, containing selected two-, three- and four-syllable words were compared with readings of the same sentences by two native speakers of German. The words were also varied systematically in their complexity and in the familiarity of their syllable structure. They combined familiar and unfamiliar sounds with known [CV(son)] and unknown [C(C)VC(C)] syllables. The realisations by the Korean learners were analysed for deviations from the native productions with respect to pause behaviour, articulation rate, the duration of the selected words, and the relative syllable duration within those words. Results show that unfamiliar sounds, syllable structure and Korean syllable-dependent rhythmic patterning combine to interfere with the production of the correct German rhythm. As the length and the syllable complexity of the German target words increases so does the degree of deviation from the native German patterns. Length of exposure to German did not appear to guarantee a closer approximation to the target patterns, but all learners were able to modify their L2-productions in the imitation task.},
      ANNOTE = {COLIURL : Rhie:1997:SSD.pdf}
}

@InProceedings{Trouvain_et_al:2001,
      AUTHOR = {Trouvain, Jürgen and Koreman, Jacques and Erriquez, Attilio},
      TITLE = {Articulation Rate Measures and their Relations to Phone Classification of Spontaneous and Read German Speech},
      YEAR = {2001},
      BOOKTITLE = {ISCA Workshop on ``Adaptation Methods for Speech Recognition'', August 29-30},
      PAGES = {150-158},
      ADDRESS = {Sophia Antipolis, France},
      URL = {https://www.coli.uni-saarland.de/~trouvain/trouvain_et_al_01.ps.gz},
      ABSTRACT = {This paper evaluates articulation rate measures and rate characteristics of read and spontaneous speech on the basis of a manually labelled database for German. The results of phone classification experiments for three different articulation rates only partially confirm our expectations. Phonetic explanations are suggested.},
      ANNOTE = {COLIURL : Trouvain:2001:ARM.pdfTrouvain:2001:ARM.ps}
}

@Article{Koreman_et_al:2004_1,
      AUTHOR = {Koreman, Jacques and Pützer, Manfred and Just, Manfred},
      TITLE = {Correlates of varying vocal fold adduction deficiencies in perception and production: methodological and practical considerations},
      YEAR = {2004},
      JOURNAL = {Folia Phoniatr. Logop.},
      ADDRESS = {Koreman:2004:CVV},
      NOTE = {accepted}
}

@InProceedings{Andreeva_et_al:2003,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques and Barry, William J.},
      TITLE = {Phonatory demarcations of intonation phrases in Bulgarian},
      YEAR = {2003},
      BOOKTITLE = {Proc. of the 15th International Congress of Phonetic Sciences (ICPhS), Barcelona},
      PAGES = {611-614},
      EDITOR = {M.J. Solé, D. Recasens and Romero, J.}
}

@InProceedings{Andreeva_et_al:2003_1,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques and Barry, William J.},
      TITLE = {Phonatory demarcations of intonation phrases in Bulgarian},
      YEAR = {2003},
      BOOKTITLE = {Proc. of the 15th Int. Congress of Phonetic Sciences (ICPhS)},
      PAGES = {611-614},
      EDITOR = {Solé, M. J. and Recasens, D. and Romero, J.},
      ADDRESS = {Andreeva:2003:PDIb}
}

@InProceedings{Koreman:2003,
      AUTHOR = {Koreman, Jacques},
      TITLE = {The perception of articulation rate},
      YEAR = {2003},
      BOOKTITLE = {Proc. of the 15th Int. Congress of Phonetic Sciences (ICPhS)},
      PAGES = {1711-1714},
      EDITOR = {Solé, M. J. and Recasens, D. and Romero, J.}
}

@InProceedings{Koreman_Pützer:2003,
      AUTHOR = {Koreman, Jacques and Pützer, Manfred},
      TITLE = {The usability of preceptual ratings of voice quality},
      YEAR = {2003},
      BOOKTITLE = {Proc. of the 6th Int. Conf. on Advances in Quantitative Laryngology, Voice and Speech Research (AQL)},
      PAGES = {Koreman:2003:UPR},
      EDITOR = {Schade, G. and Müller, F. and Wittenberg, Th. and Hess, M.},
      PUBLISHER = {IRB Verlag, Stuttgart, Germany}
}

@Article{KJ2006,
      AUTHOR = {Koreman, Jacques},
      TITLE = {Perceived speech rate: the effects of articulation rate and speaking style in spontaneous speech},
      YEAR = {2006},
      JOURNAL = {The Journal of the Acoustical Society of America},
      VOLUME = {119},
      NUMBER = {1},
      PAGES = {582-596}
}

@InProceedings{KMW2006,
      AUTHOR = {Koreman, Jacques and Morris, Andrew C. and Wu, D.},
      TITLE = {Multi-modal biometric authentication on the SecurePhone PDA},
      YEAR = {2006},
      BOOKTITLE = {Second Workshop on Multimodal User Authentication, Toulouse}
}

@InCollection{KOJ2006,
      AUTHOR = {Koreman, Jacques},
      TITLE = {The role of articulation rate in distinguishing fast and slow speakers},
      YEAR = {2006},
      BOOKTITLE = {Third. Int. Conf. on Speech Prosody, Dresden}
}

@InBook{KoKl2007,
      AUTHOR = {Koreman, Jacques and Klakow, Dietrich},
      TITLE = {Spracherkennung},
      YEAR = {2007},
      BOOKTITLE = {Studienbibliographie Computerlinguistik und Sprachtechnologie  (series: Studienbibliographien Sprachwissenschaft)},
      EDITOR = {Cramer, Irene and Schulte im Walde, Sabine},
      PUBLISHER = {Tübingen: Julius Groos Verlag Brigitte Narr GmbH},
      NOTE = {DK, WB}
}

@InProceedings{AMK2006,
      AUTHOR = {Allano, L. and Morris, Andrew C. and Koreman, Jacques},
      TITLE = {Non intrusive multi-biometrics on a mobile device: a comparison of fusion techniques},
      YEAR = {2006},
      BOOKTITLE = {SPIE Conference on Biometric Technology for Human Identification III, Florida.}
}

@InProceedings{MJSK2006,
      AUTHOR = {Morris, Andrew C. and Jassims, S. and Sellahewa, H. and Koreman, Jacques},
      TITLE = {Multimodal person authentication on a smartphone under realistic conditions},
      YEAR = {2006},
      BOOKTITLE = {SPIE Conference on Mobile Multimedia/Image Processing for Military and Security Applications, Florida}
}

@InProceedings{RCCK2006,
      AUTHOR = {Ricci, R. and Chollet, G. and Crispino, G. and Koreman, Jacques},
      TITLE = {SecurePhone: a mobile phone with biometric authentication and e-signature support for dealing secure transactions on the fly},
      YEAR = {2006},
      BOOKTITLE = {SPIE Conference on Mobile Multimedia/Image Processing for Military and Security Applications, Florida}
}

@InProceedings{RCCKO2006,
      AUTHOR = {Ricci, R. and Chollet, G. and Crispino, G. and Koreman, Jacques},
      TITLE = {THE SECUREPHONE: a mobile phone with biometric authentication and e-signature support for dealing secure transactions on the fly},
      YEAR = {2006},
      BOOKTITLE = {International Conference on Security and Cryptography (SECRYPT2006), Setubal, Portugal}
}

@InProceedings{SMWK2006,
      AUTHOR = {Sellahewa, H. and Morris, Andrew C. and Wu, D. and Koreman, Jacques},
      TITLE = {Comparison of weighting strategies in early and late fusion approaches to audio-visual person authentication},
      YEAR = {2006},
      BOOKTITLE = {SPIE Conference on Mobile Multimedia/Image Processing for Military and Security Applications, Florida}
}

@InBook{KoWuMo2007,
      AUTHOR = {Koreman, Jacques and Wu, D. and Morris, Andrew C.},
      TITLE = {Enhancing speaker discrimination at the feature level},
      YEAR = {2007},
      BOOKTITLE = {Speaker Classification I. Fundamentals, Features, and Methods (Lecture Notes in Computer Science)},
      VOLUME = {434},
      EDITOR = {Müller, Christian},
      PUBLISHER = {Springer.},
      NOTE = {WB}
}

@InBook{ScKoLA2007,
      AUTHOR = {Schacht, S. and Koreman, Jacques and Lauer, C. and Morris, Andrew C. and Wu, D. and Klakow, Dietrich},
      TITLE = {Frame Based Features},
      YEAR = {2007},
      BOOKTITLE = {Speaker Classification I. Fundamentals, Features, and Methods (Lecture Notes in Computer Science)},
      VOLUME = {434},
      EDITOR = {Müller, Christian},
      PUBLISHER = {Springer},
      NOTE = {DK, WB}
}

@InProceedings{KoMo2007,
      AUTHOR = {Koreman, Jacques and Morland, A.},
      TITLE = {Speaker consistency of coarticulatory gestures in clusters of labial and velar plosives},
      YEAR = {2007},
      BOOKTITLE = {Proceedings of 16th Int.ernational Congress of Phonetic Sciences (ICPhS2007), Saarbrücken},
      NOTE = {WB}
}

@InProceedings{MoKoSe2007,
      AUTHOR = {Morris, Andrew C. and Koreman, Jacques and Ly-Van, B. and Sellahewa, H. and Jassim, S. and Llareno Gomez, R.},
      TITLE = {Global features for rapid identity verification with dynamic biometric data},
      YEAR = {2007},
      BOOKTITLE = {Proceedings of  8th Annual Conf. of the Int. Speech. Comm. Assoc. (Interspeech 2007), Antwerp},
      NOTE = {WB}
}

@InProceedings{JKBAWBWVDROS2009,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J. and van Dommelen, Wim A and Sikveland, Rein-Ove},
      TITLE = {Cross-language differences in the production of phrasal prominence in Norwegian and German},
      BOOKTITLE = {Nordic prosody : proceedings of the Xth conference, Helsinki 2008},
      EDITOR = {Vainio, Martti and Aulanko, Reijo and Aaltonen, Olli},
      NOTE = {WB}
}

@Article{WBBAJK2009,
      AUTHOR = {Barry, William J. and Andreeva, Bistra and Koreman, Jacques},
      TITLE = {Do rhythm measures reflect perceived rhythm?},
      YEAR = {2009},
      JOURNAL = {Phonetica. - 66. 2009, 1/2, S. 78-94},
      NOTE = {WB}
}

@InProceedings{JKBAWB2008a,
      AUTHOR = {Koreman, Jacques and Andreeva, Bistra and Barry, William J.},
      TITLE = {Accentuation cues in French and German},
      BOOKTITLE = {Speech Prosody 2008 : Fourth Conference on Speech Prosody, May 6-9, Campinas, Brazil. - Campinas, 2008, S. 613-616},
      NOTE = {WB}
}

@InProceedings{JKWBMKL2008a,
      AUTHOR = {Koreman, Jacques and Barry, William J. and Lindseth, Marte Kristine},
      TITLE = {Preaspiration and perceived vowel duration in Norwegian},
      BOOKTITLE = {Proceedings Fonetik 2008 : the XXIst Swedish Phonetics Conference ; June 11–13, 2008, Department of Linguistics, University of Gothenburg. - Gothenburg : Dep. of Linguistics, 2008, S. 25-28},
      NOTE = {WB}
}

@InProceedings{BAJK2008a,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques},
      TITLE = {The status of vowel devoicing in Bulgarian : phonetic or phonological?},
      BOOKTITLE = {Formal description of Slavic languages : the fifth conference, Leipzig 2003 ; [... contributions to the Fifth European Conference on Formal Description of Slavic Languages (FDSL-5)]. - Frankfurt, M. [u.a.] : Lang, 2008. - (Linguistik international ; 20),},
      NOTE = {WB}
}

@InProceedings{BAWBJK2010a,
      AUTHOR = {Andreeva, Bistra and Barry, William J. and Koreman, Jacques},
      TITLE = {Rhythm-typology revisited},
      YEAR = {2010},
      BOOKTITLE = {32. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft (DGfS) - Humboldt-Universität zu Berlin, 23.-26.02.2010},
      NOTE = {WB}
}

@InProceedings{HMBAJK2010a,
      AUTHOR = {Mixdorff, Hansjörg and Andreeva, Bistra and Koreman, Jacques},
      TITLE = {Quantitative modeling of Norwegian tonal accents in different focus conditions},
      YEAR = {2010},
      BOOKTITLE = {Speech Prosody 2010 : 5th International Conference ; Chicago, Illinois, May 2010.},
      NOTE = {WB}
}

@InProceedings{AndBot2013,
      AUTHOR = {Andreeva, Bistra and Bott, Oliver and Koreman, Jacques and Solstad, Torgrim},
      TITLE = {Prosodic effects of implicit causality in German and Norwegian?},
      BOOKTITLE = {Nordic prosody : proceedings of the XIth conference, Tartu 2012},
      PAGES = {87-96},
      EDITOR = {Asu, Eva Liina and Lippus, Pärtel},
      ADDRESS = {Frankfurt am Main},
      PUBLISHER = {Lang},
      NOTE = {BM}
}

@InProceedings{AnBar2013,
      AUTHOR = {Andreeva, Bistra and Barry, William J. and Koreman, Jacques},
      TITLE = {The Bulgarian stressed and unstressed vowel system : a corpus study},
      YEAR = {2013},
      MONTH = {25-29 August},
      BOOKTITLE = {Interspeech 2013 : 14th Annual Conference of the International Speech Communication Association},
      PAGES = {345-348},
      ADDRESS = {Lyon, France},
      NOTE = {BM}
}

@InProceedings{AndKore2014,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques and Barry, William J.},
      TITLE = {Local and Global Acoustic Correlates of Information Structure in Bulgarian},
      YEAR = {2014},
      BOOKTITLE = {Proceedings Speech Prosody 2014, Special session on Prosody of Slavic Languages },
      PAGES = {372-376},
      NOTE = {BM}
}

@Article{AnBaKo2016,
      AUTHOR = {Andreeva, Bistra and Barry, William J. and Koreman, Jacques},
      TITLE = {Local and Global Cues in the Prosodic Realization of Broad and Narrow Focus in Bulgarian.},
      YEAR = {2016},
      JOURNAL = {Phonetica},
      VOLUME = {73},
      NUMBER = {3-4},
      PAGES = {256-278},
      NOTE = {BM}
}

@InProceedings{AnKoBa2016,
      AUTHOR = {Andreeva, Bistra and Koreman, Jacques and Barry, William J.},
      TITLE = {Prozodična realizacija na informacionnata struktura v Bălgarskija ezik},
      YEAR = {2016},
      BOOKTITLE = {Filologičeskijat proekt - krizi i perspektivi},
      ADDRESS = {Sofia, Bulgaria},
      PUBLISHER = {Sv. Kliment Ohridski}
}