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Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.

Z. Zhao, Z. Bao, Y. Zhao, Z. Zhang, N. Cummins, Z. Ren, and B. Schuller. IEEE Access, (2019)

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Cummins Lue

Mark Cummins

Nicholas Mitchell

Nicholas Kiefer

Other publications of authors with the same name

What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks.S. Hantke, N. Cummins, and B. Schuller. ICASSP, page 5134-5138. IEEE, (2018)Voice command generation using Progressive Wavegans.T. Wiest, N. Cummins, A. Baird, S. Hantke, J. Dineley, and B. Schuller. CoRR, (2019)Fitbeat: COVID-19 Estimation based on Wristband Heart Rate.S. Liu, J. Han, E. Puyal, S. Kontaxis, S. Sun, P. Locatelli, J. Dineley, F. Pokorny, G. Costa, L. Leocani and 19 other author(s). CoRR, (2021)Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children.M. Milling, A. Baird, K. Bartl-Pokorny, S. Liu, A. Alcorn, J. Shen, T. Tavassoli, E. Ainger, E. Pellicano, M. Pantic and 2 other author(s). Frontiers Comput. Sci., (2022)Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks.S. Amiriparian, A. Baird, S. Julka, A. Alcorn, S. Ottl, S. Petrovic, E. Ainger, N. Cummins, and B. Schuller. INTERSPEECH, page 2334-2338. ISCA, (2018)A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition.N. Cummins, Y. Pan, Z. Ren, J. Fritsch, V. Nallanthighal, H. Christensen, D. Blackburn, B. Schuller, M. Magimai-Doss, H. Strik and 1 other author(s). INTERSPEECH, page 2182-2186. ISCA, (2020)An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels.A. Baird, N. Cummins, S. Schnieder, J. Krajewski, and B. Schuller. INTERSPEECH, page 4951-4955. ISCA, (2020)An Investigation of Depressed Speech Detection: Features and Normalization.N. Cummins, J. Epps, M. Breakspear, and R. Goecke. INTERSPEECH, page 2997-3000. ISCA, (2011)Continuous Emotion Recognition in Speech - Do We Need Recurrence?M. Schmitt, N. Cummins, and B. Schuller. INTERSPEECH, page 2808-2812. ISCA, (2019)Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition.B. Vlasenko, H. Sagha, N. Cummins, and B. Schuller. INTERSPEECH, page 3266-3270. ISCA, (2017)

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Disambiguation of "Cummins, Nicholas"

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Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.

Please choose a person to relate this publication to

Cummins Lue

Mark Cummins

Mark Cummins

Nicholas Mitchell

Nicholas Kiefer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cummins, Nicholas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.

Please choose a person to relate this publication to

Cummins Lue

Mark Cummins

Mark Cummins

Nicholas Mitchell

Nicholas Kiefer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.