( en | de | ru )

 

Disambiguation of "Fedotov, Dmitrii"

Author of the publication

copydeleteadd this publication to your clipboard
LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition.

, , , , , and . INTERSPEECH, page 521-525. ISCA, (2018)

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.

Sergiy Fedotov

Dmitrii Guschin

Dmitrii Kuvaiskii

Dmitrii Legatiuk

Dmitrii Ostrovskii

 

Other publications of authors with the same name

Hierarchical Two-level Modelling of Emotional States in Spoken Dialog Systems., , , , and . ICASSP, page 6700-6704. IEEE, (2019)Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices., , , , , and . PerCom Workshops, page 358-360. IEEE, (2019)From Smart to Personal Environment: Integrating Emotion Recognition into Smart Houses., , and . PerCom Workshops, page 943-948. IEEE, (2019)Time-Continuous Emotion Recognition Using Spectrogram Based CNN-RNN Modelling., , , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 93-102. Springer, (2019)Context Modeling for Cross-Corpus Dimensional Acoustic Emotion Recognition: Challenges and Mixup., , and . SPECOM, volume 11096 of Lecture Notes in Computer Science, page 155-165. Springer, (2018)LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition., , , , , and . INTERSPEECH, page 521-525. ISCA, (2018)A Comparative Study of Classical and Deep Classifiers for Textual Addressee Detection in Human-Human-Machine Conversations., , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 20-30. Springer, (2019)Estimating User Satisfaction Impact in Cities Using Physical Reaction Sensing and Multimodal Dialogue System., , , , , and . IWSDS, volume 579 of Lecture Notes in Electrical Engineering, page 177-183. Springer, (2018)EmoTour: Multimodal Emotion Recognition using Physiological and Audio-Visual Features., , , , , and . UbiComp/ISWC Adjunct, page 946-951. ACM, (2018)Contextual time-continuous emotion recognition based on multimodal data.. University of Ulm, Germany, (2022)