Schnall, Andrea (2018)
Speaker adaptation for word prominence detection.
Technische Universität Darmstadt
Dissertation, Bibliographie

Schnall, Andrea ; Heckmann, Martin (2016)
Balancing gaussianity and sparseness in feature-space speaker adaptation for word prominence detection.
ITG Conference on Speech Communication. Paderborn, Germany (05.10.2016-07.10.2016)
Konferenzveröffentlichung, Bibliographie

Schnall, Andrea ; Heckmann, Martin (2016)
Comparing speaker independent and speaker adapted classification for word prominence detection.
In: 2016 IEEE Spoken Language Technology Workshop (SLT)
doi: 10.1109/SLT.2016.7846271
Buchkapitel, Bibliographie

Schnall, Andrea ; Heckmann, Martin (2016)
Speaker adaptation for support vector machine-based word prominence detection.
Speech Prosody 2016.
Konferenzveröffentlichung, Bibliographie

Schnall, Andrea ; Heckmann, Martin (2015)
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario.
International Joint Conference on Neural Networks. Killarney, Ireland. (12.07.2015-17.07.2015)
Konferenzveröffentlichung, Bibliographie

Schnall, Andrea ; Heckmann, Martin (2014)
Integrating Sequence Information in the Audio-visual Detection of Word Prominence in a Human-machine Interaction Scenario.
INTERSPEECH 2014. Singapore (14.09.2014-18.09.2014)
Konferenzveröffentlichung, Bibliographie

Guthier, Thomas ; Willert, Volker ; Schnall, Andrea ; Kreuter, Karel ; Eggert, Julian (2013)
Non-negative Sparse Coding for Motion Extraction.
IEEE International Joint Conference on Neural Networks. Dallas, Texas
Konferenzveröffentlichung, Bibliographie