Лаборатория речевых и многомодальных интерфейсов

Кипяткова Ирина Сергеевна

Кипяткова Ирина Сергеевна
Должность
Старший научный сотрудник
Ученая степень
Кандидат технических наук
Ученое звание
Доцент

Публикации

2017

Markovnikov N., Kipyatkova I., Karpov A., Filchenkov A. Deep neural networks in Russian language recognition. In Proc. 6th International Conference on Artificial Intelligence and Natural Language AINL-2017, St. Petersburg, Springer, Communications in Computer and Information Science, vol. 789, pp. 54-67.
Подробнее
Vatamaniuk I., Budkov V., Kipyatkova I., Karpov A. Methods and Algorithms of Audio-Video Signal Processing for Analysis of Indoor Human Activity. In: Favorskaya M., Jain L. (eds.) Computer Vision in Control Systems-4. Intelligent Systems Reference Library, Springer, vol. 136. 2018, pp. 139-173.
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Verkhodanova V., Shapranov V., Kipyatkova I. Hesitations in Spontaneous Speech: Acoustic Analysis and Detection. In Proc. 19Th International Conference on Speech and Computer SPECOM-2017, Hatfield, UK, Springer LNCS vol. 10458, 2017, pp. 398-406.
Подробнее
Ivanko D., Karpov A., Kipyatkova I., Ryumin D., Saveliev A., Budkov V., Ivanko Dm., Železný M. Using a High-Speed Video Camera for Robust Audio-Visual Speech Recognition in Acoustically Noisy Conditions. In Proc. 19th International Conference on Speech and Computer SPECOM-2017, Hatfield, UK, Springer LNCS vol. 10458, 2017, pp. 757-766.
Подробнее
Basov O., Kipyatkova I., Saveliev A. Multimodal Subscriber Interfaces for Infocommunication Systems // Computing and Informatics, Slovak Academy of Sciences, Vol. 36, 2017, pp. 908-924. (WoS, Scopus SJR=0,253, Q3).
Подробнее
Kipyatkova I. Experimenting with Hybrid TDNN/HMM Acoustic Models for Russian Speech Recognition. In Proc. 19th International Conference on Speech and Computer SPECOM-2017, Hatfield, UK, Springer LNCS 10458, 2017, pp. 362-369.
Подробнее
Kipyatkova I., Karpov A. A Study of Neural Network Russian Language Models for Automatic Continuous Speech Recognition Systems // Automation and Remote Control, Springer, Vol. 78, No. 5, 2017, pp. 858-867. (WoS JCR=0,492, Scopus SJR=0,340, Q2).
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