Speech and Multimodal Interfaces Laboratory

Publications

2019

Fedotov D., Kim B., Karpov A., Minker W. Time-Continuous Emotion Recognition Using Spectrogram Based CNN-RNN Modelling // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 93-102.
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Yu J., Markov K., Karpov A. Speaking Style Based Apparent Personality Recognition // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 540-548.
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Verkholyak O.V., Kaya H., Karpov A.A. Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification // SPIIRAS Proceedings, Issue 62, № 1, 2019, pp. 30-56.
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Ivanko D.V., Ryumin D.A., Karpov A.A., Zhelezny M. Investigation of the influence of high-speed video data on the recognition accuracy of audiovisual speech // Information-Control Systems (Informatsionno-Upravliaiushchie Sistemy) [Information and Control Systems], No. 2, 2019, pp. 26-34.
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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.
Ryumin D., Kagirov I., Ivanko D., Axyonov A., Karpov A. Automatic detection and recognition of 3D manual gestures for human-machine interaction. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS Archives 42(2/W12), 2019, pp. 179-183.
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Ivanko D., Ryumin D., Karpov A. Automatic lip-reading of hearing impaired people // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42(2/W12), 2019, pp. 97-101.
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Kipyatkova I. LSTM-Based Language Models for Very Large Vocabulary Continuous Russian Speech Recognition System // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 219-226.
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Markovnikov N., Kipyatkova I. Investigating Joint CTC-Attention Models for End-to-End Russian Speech Recognition // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 337-347.
Markitantov M., Verkholyak O. Automatic Recognition of Speaker Age and Gender Based on Deep Neural Networks // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 327-336.
Kagirov I., Ryumin D., Axyonov A. Method for Multimodal Recognition of One-Handed Sign Language Gestures Through 3D Convolution and LSTM Neural Networks // Lecture Notes in Computer Science, Springer LNAI 11658, SPECOM 2019, 2019, pp. 191-200.
Velichko A., Budkov V., Kagirov I., Karpov A. Applying Ensemble Learning Techniques and Neural Networks to Deceptive and Truthful Information Detection Task in the Flow of Speech // Studies in Computational Intelligence, Springer SCI 868, IDC 2019, pp. 457-466.
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Kagirov I., Karpov A., Kipyatkova I., Klyuzhev K., Kudryavcev A., Kudryavcev I., Ryumin D. Lower Limbs Exoskeleton Control System Based on Intelligent Human-Machine Interface // Studies in Computational Intelligence, Springer SCI 868, IDC 2019, 2019, pp. 477-482.
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Markovnikov N.M., Kipyatkova I.S. The study of methods for constructing coder-decoder models for recognizing Russian speech // Information Management Systems (Informatsionno-Upravliaiushchie Sistemy), No. 4, 2019, pp. 45–53.
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Kagirov I.A., Karpov A.A., Kipyatkova I.S., Klyuzhev K.S., Kudryavtsev A.I., Kudryavtsev I.A., Ryumin D.A. Intelligent interface for controlling the robotic medical exoskeleton of the lower extremities Remotion // Aerospace and Environmental Medicine (Aviakosmicheskaia i Ekologicheskaia Meditsina), No. 5, 2019, pp. 92-98.
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