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Anzahl der Einträge: 7.

Schnall, Andrea :
Speaker adaptation for word prominence detection.
Shaker Verlag , Aachen
[Dissertation], (2017)

Schnall, Andrea ; Heckmann, Martin :
Balancing gaussianity and sparseness in feature-space speaker adaptation for word prominence detection.
In: ITG Conference on Speech Communication, 2016, Paderborn, Germany.
[Konferenz- oder Workshop-Beitrag], (2016)

Schnall, Andrea ; Heckmann, Martin :
Comparing speaker independent and speaker adapted classification for word prominence detection.
In: IEEE Spoken Language Technology Workshop (SLT), 2016, San Diego, California, USA.
[Konferenz- oder Workshop-Beitrag], (2016)

Schnall, Andrea ; Heckmann, Martin :
Speaker adaptation for support vector machine-based word prominence detection.
In: Speech Prosody 2016.
[Konferenz- oder Workshop-Beitrag], (2016)

Schnall, Andrea ; Heckmann, Martin :
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario.
In: International Joint Conference on Neural Networks, 12-17 July 2015, Killarney, Ireland..
[Konferenz- oder Workshop-Beitrag], (2015)

Schnall, Andrea ; Heckmann, Martin :
Integrating Sequence Information in the Audio-visual Detection of Word Prominence in a Human-machine Interaction Scenario.
In: INTERSPEECH 2014, 14-18 September 2014, Singapore.
[Konferenz- oder Workshop-Beitrag], (2014)

Guthier, Thomas ; Willert, Volker ; Schnall, Andrea ; Kreuter, Karel ; Eggert, Julian :
Non-negative Sparse Coding for Motion Extraction.
In: IEEE International Joint Conference on Neural Networks, Dallas, Texas.
[Konferenz- oder Workshop-Beitrag], (2013)

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