( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
IEEE Transactions on Affective Computing-On Novelty and Valence.

. IEEE Trans. Affect. Comput., 10 (1): 1-2 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Björn Schuller

Saskia Björn

Bolli Björnsson

Ulf Björner

Erik Björnemo

 

Другие публикации лиц с тем же именем

Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture., , и . ICASSP (1), стр. 577-580. IEEE, (2004)Discrimination of speech and monophonic singing in continuous audio streams applying multi-layer support vector machines., , и . ICME, стр. 1655-1658. IEEE Computer Society, (2004)Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification., , и . CIKM, стр. 991-1000. ACM, (2019)Big Data, Deep Learning - At the Edge of X-Ray Speaker Analysis.. SPECOM, том 10458 из Lecture Notes in Computer Science, стр. 20-34. Springer, (2017)Audio onset detection: A wavelet packet based approach with recurrent neural networks., , , , и . IJCNN, стр. 3585-3591. IEEE, (2014)Seeking the SuperStar: Automatic assessment of perceived singing quality., , , , и . IJCNN, стр. 1560-1569. IEEE, (2017)Improving generalisation and robustness of acoustic affect recognition., , и . ICMI, стр. 517-522. ACM, (2012)AVEC 2012: the continuous audio/visual emotion challenge., , , , и . ICMI, стр. 449-456. ACM, (2012)VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis., , , , и . ICMI, стр. 205-209. ACM, (2019)A machine learning based system for the automatic evaluation of aphasia speech., , , , и . Healthcom, стр. 1-6. IEEE, (2017)