Liudmila Savchenko
- Associate Professor:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Information Systems and Technologies
- Liudmila Savchenko has been at HSE University since 2017.
Education and Degrees
- 2017
Candidate of Sciences* (PhD)
Voronezh State Technical University - 2008
Degree in Applied Mathematics and Information Science
Alexeev Nizhny Novgorod State Technical University
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Courses (2023/2024)
Machine Learning (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); field of study "38.03.05. Бизнес-информатика", field of study "09.03.04. Программная инженерия"; 3 year, 2 module)Rus
- Natural Language Processing (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 4 year, 1 module)Rus
- Project seminar "Computer vision for mobile devises" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 3 module)Eng
- Research Seminar (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 4 module)Rus
- Research Seminar "Analysis of the Literature" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1 module)Rus
- Past Courses
Courses (2022/2023)
- Machine Learning (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 2 module)Rus
- Machine Learning Algorithms in Medical Informatics (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 2 module)Rus
- Project Seminar "Foundations of Programming" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 4 module)Rus
- Python Programming (Bachelor’s programme; Faculty of Management (Nizhny Novgorod); 2 year, 1, 2 module)Rus
- Research Seminar "Analysis of the Literature" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1 module)Rus
- Research seminar "Methods of Data Mining and Computational Linguistics" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Machine Learning (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 2 module)Rus
- Project Seminar "Foundations of Programming" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 2 module)Rus
- Research Seminar "Analysis of the Literature" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 2 module)Rus
Courses (2020/2021)
- Project Seminar "Foundations of Programming" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 2 module)Rus
- Scientific Seminar "Analysis of the Literature" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 2 module)Rus
Courses (2019/2020)
- Introduction into Python (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 2 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 3 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 2 module)Eng
- Research Seminar (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1 module)Rus
Courses (2018/2019)
Scientific Seminar "Desing Science Research" (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1, 2 module)Rus
Publications21
- Article Savchenko A., Savchenko L., Makarov I. Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator // IEEE Access. 2023. Vol. 11. P. 65977-65990. doi
- Article Savchenko V., Savchenko L. Suboptimal Algorithm for Measuring Pitch Frequency Using Discrete Fourier Transform of a Speech Signal / Пер. с рус. // Journal of Communications Technology and Electronics. 2023. Vol. 68. No. 7. P. 757-764. doi
- Article A. V. Savchenko, L. V. Savchenko. Three-way classification for sequences of observations // Information Sciences. 2023. Vol. 648. Article 119540. doi
- Article Savchenko A., Savchenko L. Audio-Visual Continuous Recognition of Emotional State in a Multi-User System Based on Personalized Representation of Facial Expressions and Voice // Pattern Recognition and Image Analysis. 2022. Vol. 32. No. 3. P. 665-671. doi
- Article Savchenko A., Savchenko L., Makarov I. Classifying emotions and engagement in online learning based on a single facial expression recognition neural network // IEEE Transactions on Affective Computing. 2022. Vol. 13. No. 4. P. 2132-2143. doi
- Article Savchenko A., Savchenko V. V., Savchenko L. Gain-optimized spectral distortions for pronunciation training // Optimization Letters. 2022. Vol. 16. No. 7. P. 2095-2113. doi
- Chapter Andrey V. Savchenko, Lyudmila V. Savchenko, Belova N. S. Group-Level Affect Recognition in Video Using Deviation of Frame Features, in: Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers / Ed. by E. Burnaev, D. I. Ignatov, S. Ivanov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, J. Saramäki, A. Savchenko, E. Tsymbalov, E. Tutubalina. Cham : Springer, 2022. doi Ch. 13217. P. 199-207. doi
- Article Savchenko L., Savchenko A. A Method of Real-Time Dynamic Measurement of a Speaker’s Emotional State from a Speech Waveform / Пер. с рус. // Measurement Techniques. 2021. Vol. 64. No. 4. P. 319-327. doi
- Chapter Savchenko L., Savchenko A. Speaker-Aware Training of Speech Emotion Classifier with Speaker Recognition, in: Speech and Computer. 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021 Vol. 12997. St. Petersburg : Springer, 2021. Ch. 55. P. 614-625. doi
- Article Savchenko V. V., Savchenko L. Speech Signal Autoregression Modeling Based on the Discrete Fourier Transform and Scale-Invariant Measure of Information Discrimination / Пер. с рус. // Journal of Communications Technology and Electronics. 2021. Vol. 66. No. 11. P. 1266-1273. doi
- Article Savchenko A., Дёмочкин К. В., Savchenko L. Neural Attention Mechanism and Linear Squeezing of Descriptors in Image Classification for Visual Recommender Systems // Optical Memory and Neural Networks (Information Optics). 2020. Vol. 29. No. 4. P. 297-304. doi
- Chapter Savchenko A., Savchenko L., Savchenko V. Optimization of Gain in Symmetrized Itakura-Saito Discrimination for Pronunciation Learning, in: Mathematical Optimization Theory and Operations Research, 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, (Т. 12095) / Ed. by A. Kononov, M. Khachay, P. Pardalos, V. A. Kalyagin. Cham : Springer, 2020. doi Ch. 30. P. 440-454. doi
- Article Савченко Л. В. Распознавание изолированных слов на основе взвешенного голосования дикторозависимых нейросетевых моделей // Информационные технологии. 2020. Т. 26. № 5. С. 290-296. doi
- Article Savchenko L.V., Savchenko A.V. Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems / Пер. с рус. // Journal of Communications Technology and Electronics. 2019. Vol. 64. No. 3. P. 238-244. doi
- Article Savchenko L. Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric / Пер. с рус. // Measurement Techniques. 2019. Vol. 62. No. 9. P. 832-839. doi
- Article Савченко А. В., Савченко Л. В. Нечеткое фонетическое кодирование речевых сигналов в системах обработки речевой информации // Радиотехника и электроника. 2019. Т. 64. № 3. С. 274-280. doi
- Article Савченко Л. В. Система постановки произношения на основе сверточных нейронных сетей и информационной теории восприятия речи // Информационные технологии. 2019. Т. 25. № 5. С. 313-318. doi
- Article Savchenko A., Belova N. S., Savchenko Lyudmila V. Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition // Optical Memory and Neural Networks (Information Optics). 2018. Vol. 27. No. 1. P. 23-31. doi
- Article Савченко Л. В. Оценка качества произношения на основе метода нечеткого фонетического кодирования // Телекоммуникации. 2017. № 5. С. 42-48.
- Article Савченко Л. В. Системный подход к принятию решений и обработке речевой информации на основе метода нечеткого фонетического кодирования // Вестник Воронежского государственного технического университета. 2017. Т. 13. № 4. С. 33-37.
- Article Savchenko A., Savchenko Lyudmila V. Towards the creation of reliable voice control system based on a fuzzy approach // Pattern Recognition Letters. 2015. Vol. 65. P. 145-151. doi