( en | de | ru )

 

Disambiguation of "Schuller, Björn W."

Author of the publication

copydeleteadd this publication to your clipboard
X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild.

, , and . ICMI, page 858-867. ACM, (2020)

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. You can also use the button next to the name to display some publications already assigned to the person.

Björn Schuller

Saskia Björn

Bolli Björnsson

Ulf Björner

Erik Björnemo

 

Other publications of authors with the same name

Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture., , and . ICASSP (1), page 577-580. IEEE, (2004)CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification., , , , and . CoRR, (2020)A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification., , , , , and . EUSIPCO, page 977-981. IEEE, (2018)A Cnn-Gru Approach to Capture Time-Frequency Pattern Interdependence for Snore Sound Classification., , and . EUSIPCO, page 997-1001. IEEE, (2018)Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances., , and . EURASIP J. Audio Speech Music. Process., (2010)Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech., , and . ICASSP, page 6705-6709. IEEE, (2019)A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks., , , , and . ICASSP, page 1996-2000. IEEE, (2015)Semi-supervised learning helps in sound event classification., and . ICASSP, page 333-336. IEEE, (2012)Music Thumbnailing Incorporating Harmony- and Rhythm Structure., , , and . Adaptive Multimedia Retrieval, volume 5811 of Lecture Notes in Computer Science, page 78-88. Springer, (2008)A machine learning based system for the automatic evaluation of aphasia speech., , , , and . Healthcom, page 1-6. IEEE, (2017)