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Publikationen
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Acoustic and Perceptual Differences of Aegyo Speaking Style Across Gender in Seoul Korean. Language and Speech, 00238309251383547. https://doi.org/10.1177/00238309251383547
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Between- and within-speaker variability of voiceless fricatives in Persian Journal of the Acoustical Society of America, 158, 4294–4307. https://doi.org/10.1121/10.0039894
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Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics 1–6. https://doi.org/10.1109/iccke68588.2025.11273850
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An updated vocal repertoire of wild adult bonobos (Pan paniscus) PLoS ONE, 20, e0330250. https://doi.org/10.1371/journal.pone.0330250
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Listeners are biased towards voices of young speakers and female speakers when discriminating voices Cognitive Research: Principles and Implications, 10, 28. https://doi.org/10.1186/s41235-025-00636-3
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The role of phonetic overlap for speaker discrimination Journal of the Acoustical Society of America, 157, 3572–3589. https://doi.org/10.1121/10.0036562
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Forms, factors and functions of phonetic convergence: Editorial Speech Communication, 165, 103142. https://doi.org/10.1016/j.specom.2024.103142
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NumberLie: a game-based experiment to understand the acoustics of deception and truthfulness Proceedings of the International Conference on Spoken Language Processing, 3659–3663. https://doi.org/10.21437/interspeech.2024-2082
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Temporal Co-Registration of Simultaneous Electromagnetic Articulography and Electroencephalography for Precise Articulatory and Neural Data Alignment 3120–3124. https://doi.org/10.21437/interspeech.2024-1299
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Cortical-striatal brain network distinguishes deepfake from real speaker identity Communications Biology, 7, 711. https://doi.org/10.1038/s42003-024-06372-6
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Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features Pattern Recognition Letters, 181, 64–69. https://doi.org/10.1016/j.patrec.2024.03.016
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Shouting affects temporal properties of the speech amplitude envelope JASA Express Letters, 4, 015202. https://doi.org/10.1121/10.0023995
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Acoustic compression in Zoom audio does not compromise voice recognition performance Scientific Reports, 13, 18742. https://doi.org/10.1038/s41598-023-45971-x
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Voice discrimination across speaking styles in Persian In R. Skarnitzl & J. Volín (Eds.), Proceedings of the International Congress of Phonetic Sciences. International Phonetic Association. https://guarant.cz/icphs2023/952.pdf
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Vocal effort in human interactions with voice-AI Proceedings of the International Congress of Phonetic Sciences, 803–807. https://guarant.cz/icphs2023/834.pdf
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Speaker idiosyncratic intensity and mouth opening-closing variations: the case of English 20th International Congress of Phonetic Sciences, Prague.
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IDEAR: A speech database of identity-marked, clear, and read speech 20th International Congress of the Phonetic Sciences (ICPhS), Prague.
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Speakers are more cooperative and less individual when interacting in larger group sizes Frontiers in Psychology, 14, 1145572. https://doi.org/10.3389/fpsyg.2023.1145572
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Reorganization of the auditory-perceptual space across the human vocal range (R. Skarnitzl & J. Volín, Eds.; pp. 560–564). Guarant International. https://guarant.cz/icphs2023/1070.pdf
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A longitudinal study of individual difference in foreign language pronunciation development: The case of vowel production in Ecuadorian learners of English In A. Henderson & A. Kirkova-Naskova (Eds.), Proceedings of the 7th International Conference on English Pronunciation: Issues and Practices (pp. 214–224). Université Grenoble-Alpes. https://doi.org/10.5281/zenodo.8225313
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Degraded and computer-generated speech processing in a bonobo Animal Cognition, 25, 1393–1398. https://doi.org/10.1007/s10071-022-01621-9
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Explicit versus non-explicit prosodic training in the learning of Spanish L2 stress contrasts by French listeners Journal of Second Language Studies, 5, 266–306. https://doi.org/10.1075/jsls.21017.sch
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Idiosyncratic lingual articulation of American English /æ/ and /ɑ/ using network analysis Interspeech 2022, Incheon. https://doi.org/10.21437/interspeech.2022-10397
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Fundamental Frequency Variability over Time in Telephone Interactions 101–105. https://doi.org/10.21437/interspeech.2022-10669
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Stress Crossover in Intimate Relationships: A New Framework for Studying Dynamic Co-Regulation Patterns in Dyadic Interactions (No. 5sjgk; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/5sjgk
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Mothers Reveal More of Their Vocal Identity When Talking to Infants (No. 4088888; SSRN). https://doi.org/10.2139/ssrn.4088888
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L2 phonetic accuracy development in a foreign language setting: A longitudinal study In B. Blecua, J. Cicres, M. Espejel, & M. J. Machuca (Eds.), Propuestas en fonética experimental: enfoques metodológicos y nuevas tecnologías (pp. 225–228). Universitat de Girona. https://www.researchgate.net/publication/360159052_Propuestas_en_fonetica_experimental_enfoques_metodologicos_y_nuevas_tecnologias
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Vowel convergence does not affect auditory speaker discriminability in humans and machine in a case study on Swiss German dialects International Journal of Speech, Language and the Law, 29, 60–84. https://doi.org/10.1558/ijsll.19954
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Special issue: Vocal accommodation in speech communication Journal of Phonetics, 95, 101196. https://doi.org/10.1016/j.wocn.2022.101196
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Do speakers converge rhythmically? A study on segmental timing properties of Grison and Zurich German before and after dialogical interactions Loquens, 8, 1–9. https://doi.org/10.3989/loquens.2021.078
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Native listeners rely on rhythmic cues when deciding on the nativeness of speech Journal of the Acoustical Society of America, 150, 2836–2853. https://doi.org/10.1121/10.0006537
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Age-related rhythmic variations: The role of syllable intensity variability TRANEL : Travaux Neuchâtelois de Linguistique, 74, 167–185. http://www.unine.ch/tranel/home/tous-les-numeros/tranel-74.html
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Word stress processing integrates phonological abstraction with lexical access – An ERP study Journal of Neurolinguistics, 57, 100959. https://doi.org/10.1016/j.jneuroling.2020.100959
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Working memory and not acoustic sensitivity is related to stress processing ability in a foreign language: An ERP study Journal of Neurolinguistics, 55, 100897. https://doi.org/10.1016/j.jneuroling.2020.100897
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The dynamics of indexical information in speech: Can recognizability be controlled by the speaker? Acta Universitatis Carolinae Philologica, 2019, 57–75. https://doi.org/10.14712/24646830.2019.18
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Fundamental Frequency Accommodation in Multi-Party Human-Robot Game Interactions: The Effect of Winning or Losing Interspeech 2019, Graz. https://doi.org/10.21437/interspeech.2019-2496
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Evaluation of VOCALISE under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01) Speech Communication, 112, 30–36. https://doi.org/10.1016/j.specom.2019.06.005
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Speaker individuality in the durational characteristics of voiced intervals: the case of chinese bi-dialectal speakers Proceedings of the International Congress of Phonetic Sciences, 3075–3079. https://assta.org/proceedings/ICPhS2019/papers/ICPhS_3124.pdf
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Music and L2 prosody: the role of musical aptitude on the discrimination of stress contrasts In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 1927–1931). International Phonetic Association. https://assta.org/proceedings/ICPhS2019/papers/ICPhS_1976.pdf
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Music and l2 prosody: the role of music aptitude on the discrimination of stress contrasts in l2 In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 1927–1931). International Phonetic Association. https://assta.org/proceedings/ICPhS2019/papers/ICPhS_1976.pdf
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The role of the first five formants in three vowels of mandarin for forensic voice analysis In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 617–621). International Phonetic Association. https://assta.org/proceedings/ICPhS2019/papers/ICPhS_666.pdf
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Bridging the brain structure – brain function gap in prosodic speech processing in older adults Neurobiology of Aging, 80, 116–126. https://doi.org/10.1016/j.neurobiolaging.2019.04.017
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Highly spectrally undersampled vowels can be classified by machines without supervision Journal of the Acoustical Society of America, 146, EL1–EL7. https://doi.org/10.1121/1.5111154
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Between-speaker variability and temporal organization of the first formant Journal of the Acoustical Society of America, 145, EL209–EL214. https://doi.org/10.1121/1.5093450
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Between-speaker rhythmic variability is not dependent on language rhythm, as evidence from Persian reveals International Journal of Speech, Language and the Law, 25, 151–174. https://doi.org/10.1558/ijsll.37110
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The Zurich Corpus of Vowel and Voice Quality, Version 1.0 1417–1421. https://doi.org/10.21437/Interspeech.2018-1542
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Influences of fundamental oscillation on speaker identification in vocalic utterances by humans and computers 3795–3799. https://doi.org/10.21437/Interspeech.2018-2331
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The Effect of Ageing on Speech Rhythm: A Study on Zurich German 133–137. https://doi.org/10.21437/SpeechProsody.2018-27
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Voice Biometrics for Forensic Speaker Recognition Applications In S. Frühholz & P. Belin (Eds.), The Oxford Handbook of Voice Perception (pp. 777–798). Oxford University Press.
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Perception of vocal tract tension: exploring possible prosodic correlates VII Congreso Internacional de Fonética Experimental CIFE 2017, Madrid.
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Speaker Identification for Swiss German with Spectral and Rhythm Features 2017 AES International Conference on Semantic Audio. 2017 AES International Conference on Semantic Audio (June 2017), Erlangen. https://doi.org/10.17743/aesconf.2017.978-1-942220-15-2
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Between-speaker variability in temporal organizations of intensity contours Journal of the Acoustical Society of America, 141, EL488–EL494. https://doi.org/10.1121/1.4983398
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Computation of L2 speech rhythm based on duration and fundamental frequency In J. Trouvain, I. Steiner, & B. Mobius (Eds.), Elektronische Sprachsignalverarbeitung 2017 (No. 86; pp. 246–253). TUDpress. http://essv2017.coli.uni-saarland.de/pdfs/Pellegrino.pdf
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Vowel recognition at fundamental frequencies up to 1 kHz reveals point vowels as acoustic landmarks Journal of the Acoustical Society of America, 142, 1025–1033. https://doi.org/10.1121/1.4998706
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Listeners use temporal information to identify French- and English-accented speech Speech Communication, 86, 121–134. https://doi.org/10.1016/j.specom.2016.11.006
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Intonation and talker variability in the discrimination of Spanish lexical stress contrasts by Spanish, German and French listeners Journal of the Acoustical Society of America, 142, 2419–2429. https://doi.org/10.1121/1.5008849
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Amplitude envelope kinematics of speech signal: parameter extraction and applications In J. Trouvain, I. Steiner, & B. Möbius (Eds.), Elektronische Sprachsignalverarbeitung 2017 (No. 86; pp. 1–8). TUDpress. http://essv2017.coli.uni-saarland.de/pdfs/He.pdf
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Enhancing the objectivity of interactive formant estimation: introducing euclidean distance measure and numerical conditions for numbers and frequency ranges of formants In J. Trouvain, I. Steiner, & B. Moebius (Eds.), Elektronische Sprachsignalverarbeitung 2017 (No. 86; pp. 130–137). TUDpress. http://essv2017.coli.uni-saarland.de/pdfs/Kathiresan.pdf
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The role of syllable intensity in between- speaker rhythmic variability International Journal of Speech, Language and the Law, 23, 243–273. https://doi.org/10.1558/ijsll.v23i2.30345
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PresenterPro: A tool for recording, indexing and processing prompted speech with Praat In C. Draxler & F. Kleber (Eds.), 12. Tagung Phonetik und Phonologie im deutschsprachigen Raum (pp. 30–33). https://epub.ub.uni-muenchen.de/29405/
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A Praat-Based Algorithm to Extract the Amplitude Envelope and Temporal Fine Structure Using the Hilbert Transform Interspeech 2016, 2016, 530–534. https://doi.org/10.21437/Interspeech.2016-1447
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Phonetic sources of sound change: The influence of Thai on nasality in Pwo Karen Manusya : Journal of Humanities, 19, 46–66. http://www.manusya.journals.chula.ac.th/html/essay.php?essay_id=426
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Age-Related Neural Oscillation Patterns During the Processing of Temporally Manipulated Speech Brain Topography, 29, 440–458. https://doi.org/10.1007/s10548-015-0464-0
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Swiss graphogame: concept and design presentation of a computerised reading intervention for children with high risk for poor reading outcomes 1878–1879. http://www.isca-speech.org/archive/interspeech_2015/i15_1878.html
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Speaker-individual rhythmic characteristics in read speech of German-Italian bilinguals In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 349–362). Peter Lang.
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Comparisons of speaker recognition strengths using suprasegmental duration and intensity variability: an artificial neural networks approach In The Scottish Consortium for ICPhS (Ed.), Proceedings of the International Congress of Phonetic Sciences (p. 395). International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0395.pdf
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Speaker-idiosyncrasy in pausing behavior: Evidence from a cross-linguistic study In The Scottish Consortium for ICPhS (Ed.), Proceedings of the International Congress of Phonetic Sciences (p. 294). International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0294.pdf
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Vowel identification at high fundamental frequencies in minimal pairs (No. 0434). 1–4. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0434.pdf
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Gender and age differences in vowel-related formant patterns: What happens if men, women, and children produce vowels on different and on similar F0? Journal of the Acoustical Society of America, 137, 2416. https://doi.org/10.1121/1.4920812
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What does voice and silences tell us about speaker identity? An introduction to temporal speaker individualities and their use for forensic speaker comparison In G. M. Schneider, M. C. Janner, & B. Élie (Eds.), Vox & Silentium : Études de linguistique et littérature romanes - Studi di linguistica e letteratura romanza - Estudios de lingüística y literatura románicas (pp. 17–35). Peter Lang.
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Dialäkt Äpp: Communicating dialectology to the public – crowdsourcing dialects from the public In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 271–285). Peter Lang.
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Acoustic characteristics of voice in music and straight theatre: topics, conceptions, questions In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 393–406). Peter Lang.
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Auditory speaker discrimination by forensic phoneticians and naive listeners in voiced and whispered speech International Journal of Speech, Language and the Law, 22, 229–248. https://doi.org/10.1558/ijsll.v22i2.23101
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Trends in Phonetics and Phonology: Studies from German speaking Europe (A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo, Eds.). Peter Lang.
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Rhythmic variability between speakers: Articulatory, prosodic, and linguistic factors Journal of the Acoustical Society of America, 137, 1513–1528. https://doi.org/10.1121/1.4906837
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The phonological function of vowels is maintained at fundamental frequencies up to 880 Hz Journal of the Acoustical Society of America, 138, EL36–EL42. https://doi.org/10.1121/1.4922534
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Use of speech and prosody in Composed Theatre In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 379–391). Peter Lang.
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The role of longterm acquaintances in speech accomodation In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 93–105). Peter Lang.
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The recognition of read and spontaneous speech in local vernacular: The case of Zurich German Journal of Phonetics, 48, 13–28. https://doi.org/10.1016/j.wocn.2014.10.011
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Introduction In A. Leemann, M.-J. Kolly, S. Schmid, & V. Dellwo (Eds.), Trends in Phonetics and Phonology: Studies from German speaking Europe (pp. 9–17). Peter Lang.
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Integration of spoken and written words in beginning readers: A topographic ERP study Brain Topography, 27, 786–800. https://doi.org/10.1007/s10548-013-0336-4
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Die Leistung im Memorieren und Nachsprechen von Pseudowoertern: Eine Untersuchung zum Wortakzent im Deutschen Linguistische Berichte, 2014, 447–470. http://www.ingentaconnect.com/content/buske/lingber/2014/00002014/00000240/art00002
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Speaker idiosyncratic variability of intensity across syllables 233–237. http://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_0233.pdf
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Intelligibility of high-pitched vowel sounds in the singing and speaking of a female Cantonese Opera singer 2132–2133. http://193.6.4.39/~czap/letoltes/IS14/IS2014/PDF/AUTHOR/IS142013.PDF
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Rhythmic variability between some Asian languages: results from an automatic analysis of temporal characteristics 1708–1711. http://www.isca-speech.org/archive/interspeech_2014/i14_1708.html
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Foreign accent recognition based on temporal information contained in lowpass-filtered speech 2175–2179. http://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_2175.pdf
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The influence of speech rate on Fujisaki model parameters EURASIP Journal on Audio, Speech, and Music Processing, 2014, online. https://doi.org/10.1186/s13636-014-0033-6
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‘Swiss Voice App’: A smartphone application for crowdsourcing Swiss German dialect data 231–233. http://dharchive.org/paper/DH2014/Paper-819.xml
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A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users (N. Calzolari, K. Choukri, T. Declerck, & H. Loftsson, Eds.; pp. 3444–3447). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2014/pdf/214_Paper.pdf
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Vowel discrimination at high fundamental frequencies in real speech Journal of the Acoustical Society of America, 135, n/a. https://doi.org/10.1121/1.4878045
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Disentangling sources of rhythmic variability between dialects Speech Prosody 2014, Dublin.
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Speaker-individuality in suprasegmental temporal features: Implications for forensic voice comparison Forensic Science International, 238, 59–67. https://doi.org/10.1016/j.forsciint.2014.02.019
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Cues to linguistic origin: The contribution of speech temporal information to foreign accent recognition Journal of Phonetics, 42, 12–23. https://doi.org/10.1016/j.wocn.2013.11.004
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Speaker-individuality in Fujisaki model f0 features: implications for forensic voice comparison International Journal of Speech, Language and the Law, 21, 343–370. https://doi.org/10.1558/ijsll.v21i2.343
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Listeners may rely on intonation to distinguish languages of different rhythm classes Loquens, 1, e008. https://doi.org/10.3989/loquens.2014.008
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Rhythmische Variabilität bei synchronem Sprechen und ihre Bedeutung für die forensische Sprecheridentifizierung TRANEL : Travaux neuchâtelois de linguistique, 59, 149–166.
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Audiovisuelle Sprechererkennung durch linguistisch naive Personen TRANEL : Travaux neuchâtelois de linguistique, 59, 167–181.
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Rhythmic characteristics of voice between and within languages TRANEL : Travaux Neuchâtelois de Linguistique, 59, 87–107.
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(How) can listeners identify the L1 in foreign accented L2 speech? TRANEL : Travaux Neuchâtelois de Linguistique, 59, 127–148. http://www2.unine.ch/islc/cms/lang/fr/pid/29359
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Sprachrhythmus bei bilingualen Sprechern TRANEL : Travaux neuchâtelois de linguistique, 59, 109–126. http://www2.unine.ch/islc/page-29359.html
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Speaker idiosyncratic rhythmic features in the speech signal 1–4. http://interspeech2012.org/accepted-abstract.html?id=1195
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Speaker identification based on speech rhythm: the case of bilinguals Perspectives on Rhythm and Timing (PoRT), Glasgow/Scotland.
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Caratteristiche temporali del parlato italiano e tedesco: un confronto tra parlanti nativi, bilingui e non-nativi In M. Falcone & A. Paoloni (Eds.), La voce nelle applicazioni (pp. 159–174). Bulzoni.
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The Phonetics Lab and The Phonogram Archives at Zurich University, Switzerland The Phonetician, 101, 91–95. http://isphs.org/1973.html
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Variability of speech rhythm in synchronous speech In Q. Ma, H. Ding, & D. Hirst (Eds.), Proceedings of the 6th International Conference on Speech Prosody (pp. 539–542). Tongji University Press. http://www.speechprosody2012.org/page.asp?id=157
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Influences of segmental content on the perception of word duration: a first approach towards a new perceptual model of speech rhythm In W.-S. Lee & E. Zee (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences (pp. 560–563). International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2011/OnlineProceedings/RegularSession/Dellwo/Dellwo.pdf
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‘Read speech normalization’ (RSN): a method to study prosodic variability in spontaneous speech In W.-S. Lee & E. Zee (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences (pp. 2328–2331). International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2011/OnlineProceedings/RegularSession/Zipp/Zipp.pdf
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Assessment of rhythm In A. Lowit & R. D. Kent (Eds.), Assessment of Motor Speech Disorders (pp. 231–251). Plural Publishing.
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Expectations for dicourse genre identification: a prosodic study Interspeech 2010, Makuhari/Japan.
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The role of speech rhythm in attending to one of two simultaneous speakers Speech Prosody 2010, Chicago. http://speechprosody2010.illinois.edu/papers/100039.pdf
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Choosing the right rate normalization method for measurements of speech rhythm In S. Schmid, M. Schwarzenbach, & D. Studer-Joho (Eds.), La dimensione temporale del parlato (pp. 13–32). EDK.
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Rhythmic classification of languages based on voice timing (online; UCL Discovery). http://discovery.ucl.ac.uk/15122/1/15122.pdf
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Comparing native and non-native speech rhythm using acoustic rhythmic measures: Cantonese, Beijing Mandarin and English 423–426. http://sprosig.isle.illinois.edu/sp2008/papers/id063.pdf
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The role of speech rate in perceiving speech rhythm 375–378. http://sprosig.isle.illinois.edu/sp2008/papers/id155.pdf
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Rhythmical classification based on voice parameters In J. Trouvain & W. Barry (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 1129–1132). International Phonetic Association. http://www.icphs2007.de/conference/Papers/1169/1169.pdf
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Czech speech rhythm and the rhythm class hypothesis In J. Trouvain & W. Barry (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 1241–1244). International Phonetic Association. http://www.icphs2007.de/conference/Papers/1538/1538.pdf
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How is individuality expressed in voice? An introduction to speech production & description for speaker classification In C. Müller (Ed.), Speaker Classification I : Fundamentals, Features, and Methods (No. 4343; pp. 1–20). Springer. https://doi.org/10.1007/978-3-540-74200-5_1
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Rhythm and Speech Rate: A Variation Coefficient for deltaC In P. Karnowski & I. Szigeti (Eds.), Language and language-processing (pp. 231–241). Peter Lang.
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Relations between language rhythm and speech rate In M. J. Solé, D. Recasens, & J. Romero (Eds.), Proceedings of the International Congress of Phonetic Sciences (pp. 471–474). International Phonetic Association. https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2003/papers/p15_0471.pdf