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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.