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Oscillations, Waves, and Interactions - GWDG

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34 H. W. Strube<br />

the expectations: the longer <strong>and</strong> tighter the glottal closure is, the smaller the noise<br />

component should be.<br />

As for the extension to running speech, the high-speed video method is limited by<br />

the amount of frames that can be recorded continuously, about 2 s of speech.<br />

Acknowledgements. The author thanks Prof. Eberhard Kruse (Dept. of Phoniatrics <strong>and</strong><br />

Paedaudiology) for his engaged project management <strong>and</strong> all of our coworkers, especially<br />

Matthias Fröhlich, Dirk Michaelis, Jan Lessing, Sven Anderson, who have mainly carried<br />

out the work described here. We are indebted to the Deutsche Forschungsgemeinschaft<br />

(DFG) for funding this work under grants Kr 1469/2 <strong>and</strong> 1469/5.<br />

References<br />

[1] H. W. Strube <strong>and</strong> H. Wilmers, ‘Noise reduction for speech signals by operations on the<br />

modulation frequency spectrum’, in Joint Meeting “Berlin 1999” ASA/EAA/DEGA<br />

(DEGA, Oldenburg, 1999), full paper on CD-ROM; Abstracts in: Acustica / acta<br />

acustica 85, S52 (1999) <strong>and</strong> J. Acoust. Soc. Am. 105, 978 (1999).<br />

[2] O. Schreiner <strong>and</strong> H. W. Strube, ‘Modulationsfilterung von Sprache mit Fourier-<br />

Spektrogramm und Wavelet-Transformation’, in Fortschritte der Akustik – DAGA<br />

2001, edited by O. von Estorff (DEGA, Oldenburg, 2001), pp. 100–101.<br />

[3] H. Freienstein, K. Müller, <strong>and</strong> H. W. Strube, ‘Bestimmung von sprecherspezifischen<br />

Vokaltraktparametern’, in Elektronische Sprachsignalverarbeitung. Tagungsb<strong>and</strong> der<br />

zehnten Konferenz, edited by D. Mehnert (w.e.b. Universitätsverlag, Dresden, 1999),<br />

vol. 16 of Studientexte zur Sprachkommunikation, pp. 208–215.<br />

[4] C. Rico Garcia, O. Schreiner, <strong>and</strong> W. Minker, ‘A Scalable Syllable Speech Recognizer’,<br />

in Fortschritte der Akustik – DAGA ’06, edited by S. Langer, W. Scholl, <strong>and</strong> V. Wittstock<br />

(DEGA, Berlin, 2006), pp. 735–736.<br />

[5] M. Tress, O. Schreiner, <strong>and</strong> G. Palm, ‘Optimierung eines silbenbasierten Spracherkenners’,<br />

in Fortschritte der Akustik – DAGA ’06, edited by S. Langer, W. Scholl, <strong>and</strong><br />

V. Wittstock (DEGA, Berlin, 2006), pp. 741–742.<br />

[6] O. Schreiner, ‘Modulation Spectrum for Pitch <strong>and</strong> Speech Pause Detection’, in<br />

Proc. 8th European Conference on Speech Communication <strong>and</strong> Technology (Eurospeech/Interspeech<br />

2003) (International Speech Communication Association, 2003),<br />

pp. 2849–2852.<br />

[7] H. Quast, ‘Automatische Erkennung nonverbaler Sprache’, in Fortschritte der Akustik<br />

– DAGA 2001, edited by O. von Estorff (DEGA, Oldenburg, 2001), pp. 564–565.<br />

[8] H. Quast, Prosody Recognition in Speech Dialogue Systems (Sierke Verlag, Göttingen,<br />

2006), Doctoral thesis, Universität Göttingen.<br />

[9] H. W. Strube, D. Michaelis, J. Lessing, <strong>and</strong> S. Anderson, ‘Akustische Analyse pathologischer<br />

Stimmen in fortlaufender Sprache’, in Fortschritte der Akustik – DAGA ’03,<br />

edited by M. Vorländer (DEGA, Oldenburg, 2003), pp. 760–761.<br />

[10] H. W. Strube, ‘Sprach- und Bildanalyse für pathologische Stimmen’, in Signaltheorie<br />

und Signalverarbeitung, Akustik und Sprachakustik, Informationstechnik, edited<br />

by D. Wolf (w.e.b. Universitätsverlag, Dresden, 2003), vol. 29 of Studientexte zur<br />

Sprachkommunikation, pp. 133–140.<br />

[11] M. Fröhlich, D. Michaelis, <strong>and</strong> E. Kruse, ‘Objektive Beschreibung der Stimmgüte unter<br />

Verwendung des Heiserkeits-Diagramms’, HNO 46, 684 (1998).<br />

[12] D. Michaelis, M. Fröhlich, <strong>and</strong> H. W. Strube, ‘Selection <strong>and</strong> combination of acoustic<br />

features for the description of pathologic voices’, J. Acoust. Soc. Am. 103, 1628 (1998).

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