Speech and Multimodal Interfaces Laboratory

Karpov Alexey Anatolyevich

Karpov Alexey Anatolyevich
Position
Head of Laboratory
Qualification
Doctor of Technical Sciences
Academic title
Associate Professor

Publications

2020

Ryumin D., Ivanko D., Kagirov I., Axyonov A., Karpov A. Vision-Based Assistive Systems for Deaf and Hearing Impaired People // In: Favorskaya M., Jain L. (eds) Computer Vision in Advanced Control Systems-5, Intelligent Systems Reference Library, Springer, vol. 175, 2020, pp. 197-224.
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Ivanko D., Ryumin D., Kipyatkova I., Axyonov A., Karpov A. Lip-reading Using Pixel-based and Geometry-based Features for Multimodal Human-Robot Interfaces // Smart Innovation, Systems and Technologies, Springer, vol. 154, Zavalishin’s Readings 2019, 2020, pp. 477-486.
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2019

Verkholyak O., Fedotov D., Kaya H., Zhang Y., Karpov A. Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems. In Proc. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-2019, Brighton, UK, 2019, pp. 6700-6704.
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Akhtiamov O., Siegert I., Karpov A., Minker W. Cross-Corpus Data Augmentation for Acoustic Addressee Detection. In Proc. 20th ACL International Conference on Discourse and Dialogue SIGDial-2019, Stockholm, Sweden, 2019, pp. 274-283.
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Ryumin D., Ivanko D., Kagirov I., Axyonov A., Karpov A., Zelezny M. Human-Robot Interaction with Smart Shopping Trolley using Sign Language: Data Collection. In Proc. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, 2019, pp. 949-954.
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Kaya H., Fedotov D., Dresvyanskiy D., Doyran M., Mamontov D., Markitantov M., Akdag Salah A., Kavcar E., Karpov A., Salah A.A. Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics. In Proc. 9th ACM International Audio/Visual Emotion Challenge and Workshop AVEC’19, Nice, France, 2019, ACM, New York, NY, USA, 9 pages.
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Fedotov D.V., Verkholyak O.V., Karpov A.A. Contextual continuous recognition of emotions in Russian speech using recurrent neural networks. Proceedings of the 8th Interdisciplinary Seminar “Analysis of Conversational Russian Speech” AR3-2019, St. Petersburg, St. Petersburg State University, 2019, pp. 96-99.