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Andrea Schnall

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2010 – 2019

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2019
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Andrea Schnall, Martin Heckmann:
Feature-space SVM adaptation for speaker adapted word prominence detection. Comput. Speech Lang. 53: 198-216 (2019)
2018
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Andrea Schnall:
Speaker adaptation for word prominence detection. Darmstadt University of Technology, Germany, Shaker Verlag 2018, ISBN 978-3-8440-5921-2, pp. 1-122
2016
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Andrea Schnall, Martin Heckmann:
Balancing Gaussianity and sparseness in feature-space speaker adaptation for word prominence detection. ITG Symposium on Speech Communication 2016: 1-5
[c4]
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Andrea Schnall, Martin Heckmann:
Comparing speaker independent and speaker adapted classification for word prominence detection. SLT 2016: 239-244
2015
[c3]
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Andrea Schnall, Martin Heckmann:
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario. IJCNN 2015: 1-7
2014
[c2]
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  - conf/interspeech/SchnallH14
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Andrea Schnall, Martin Heckmann:
Integrating sequence information in the audio-visual detection of word prominence in a human-machine interaction scenario. INTERSPEECH 2014: 2640-2644
2013
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  - conf/ijcnn/GuthierWSKE13
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Thomas Guthier, Volker Willert, Andrea Schnall, Karel Kreuter, Julian Eggert:
Non-negative sparse coding for motion extraction. IJCNN 2013: 1-8

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