Journal Papers

2014

  1. Special Issue “SPEECH INFORMATION SYSTEMS“, Scientific and Technical Journal «Priborostroenie», №2(57), 2014 .
  2. Khitrov M. V., Vasiliev A. Yu. Analysis of Language Statistical Aspects and Their Gender Variations by the Example of Lithuanian. // Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  3. Kiselev V. V., Tkachenia А. V., Khitrov M. V. Determination of Channel-Independent Information Indicators. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  4. Tomashenko N. A., Khohlov Yu. Yu. Analysis of Data Balancing Problem in Acoustic Modeling of Automatic Speech Recognition System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  5. Chernykh G. А., Korenevsky М. L., Levin K. E., Ponomareva I. А., Tomashenko N. A. Cross-Validation State Control in Acoustic Model Training of Automatic Speech Recognition System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  6. Chistikov P. G., Khomitsevich О. G., Rybin S. V. Statistical Methods for Automatic Prosodic Break Detection in a Text-To-Speech System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  7. Aleinik S. V., Stolbov М. B. Time Delay Estimation of Audio Signals Using Their Envelopes. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  8. Aleinik S. V., Stolbov М. B. Speech Signals Stochasticity and Its Evaluation. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  9. Bibikov S. V., Matveev Yu. N., Semenov N. N. Assessment of Functional Safety of Detection of Vibroacoustic Signal from Arriving Train with Energy Sensor. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  10. Stolbov М. B., Tatarnikova М. Yu. Target and Non-Target Speech Separation Using a Dual Microphone System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  11. Bulgakova Е. V., Krasnova Е. V. Expert Systems and Methods for Speaker Identification. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  12. Dyrmovsky D. V., Koval S. L., Khitrov M. V. Concept of the National Voice Accounting and Voice Biometric Search System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  13. Matveev Yu. N., Shulipa A. K. Analysis of Manifold Learning Methods Applicability toSpeaker Recognition. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  14. Novoselov S. А., Sukhmel V. А., Sholokhov А. V., Pekhovsky T. S. Employment of DTW-Based HMM-GMM Multi-Session Training in Text-Dependent Speaker Verification. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  15. Shchemelinin V. L., Simonchik K. K. Study of Voice Verification System Tolerance to Spoofing Attacks Using a Text-To-Speech System. //  Scientific and Technical Journal «Priborostroenie», №2(57), 2014.
  16. Aleinik S., Matveev Y. Detection of Clipped Fragments in Speech Signals // International Journal of Electrical, Electronic Science and Engineering – 2014, Vol. 8, No. 2, pp. 74-80.
  17. Karpov A. An Automatic Multimodal Speech Recognition System with Audio and Video Information // Automation and Remote Control – 2014, Vol. 75, No. 12, pp. 2190-2200.
  18. Kukharev G.A., Matveev Y., Shchegoleva N. A Gradient Method for Generating Facial Barcodes // Communications in Computer and Information Science – 2014, Vol. 436, pp. 121-127.
  19. Karpov A., Ronzhin A. A Universal Assistive Technology with Multimodal Input and Multimedia Output Interfaces // Lecture Notes in Computer Science. 2014, Vol. 8513, P. 369-378.
  20. Pekhovsky T., Sizov A. Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) – 2014, Vol. 8621, No. LNCS, pp. XI
  21. Karpov A., Kipyatkova I., Zelezný M. A Framework for Recording Audio-Visual Speech Corpora with a Microphone and a High-Speed Camera // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 50-57.
  22. Merkin N., Romanenko A., Zatvornitskiy A., Medennikov I. Controlling the uncertainty area in the real time LVCSR application // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 153-160.
  23. Aleinik S., Kudashev O. Estimating Stochasticity of Acoustic Signals // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 192-199.
  24. Chistikov P., Zakharov D., Talanov A. Improving Speech Synthesis Quality for Voices Created from an Audiobook Database // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 276–283.
  25. Zatvornitskiy A., Romanenko A., Korenevsky M. Proportional-Integral-Derivative Control of Automatic Speech Recognition Speed // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 361–368.
  26. Romanenko A., Medennikov I., Zatvornitsky A. Simplified Simultaneous Perturbation Stochastic Approximation for the optimization of free decoding parameters // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 403–410.
  27. Tomashenko N., Khokhlov Yu. Speaking Rate Estimation based on DNNs // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 419–425.
  28. Chernykh G., Korenevsky M., Levin K., Ponomareva I., Tomashenko N. State Level Control for Acoustic Model Training // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 436–443.
  29. Kipyatkova I., Karpov A. Study of Morphological Factors of Factored Language Models for Russian ASR // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 450-458.
  30. Krasnova E., Bulgakova E. The Use of Speech Technology in Computer Assisted Language Learning Systems // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 459–466.
  31. Shchemelinin V., Topchina M., Simonchik K. Vulnerability of Voice Verification Systems to Spoofing Attacks by TTS Voices Based on Automatically Labeled Telephone Speech // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 475-481.
  32. Khomitsevich O., Chistikov P., Zakharov D. Using Random Forests for Prosodic Break Prediction Based on Automatic Speech Labeling // Lecture Notes in Artificial Intelligence (LNAI), 2014, vol. 8773, P. 467–474.

2013

  1. Ivan Tampel, Ekaterina Krasnova, Ekaterina Panova, Kirill Levin, Olga Petrova APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN COMPUTER AIDED LANGUAGE LEARNING
  2. Kydashev O. AGGLOMERATIVE CLUSTERING OF SOUND RECORD SPEECH SEGMENTS BASED ON BAYESIAN INFORMATION CRITERION // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2013, №1 (83). — P. 90-94.
  3. Kiselev V., Eliseeva O., Kovalyonok Yu., Khitrova J. LINGUISTIC SIMULATOR ARCHITECTURE FOR QUICK COMMUNICATION SKILLS MASTERING IN A FOREIGN LANGUAGE // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2013, №1 (83). — P. 166-170.
  4. Special Issue “SPEECH INFORMATION SYSTEMS“,  Scientific and Technical Journal «Priborostroenie», №2(56), 2013.
  5. Khitrov M. Talking passwords: voice biometrics for data access and security // Biometric Technology Today, February 2013, P. 9-11. Изд-во Elsevier Ltd.
  6. Pekhovsky T., Sizov A. Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification // Pattern Recognition Letters, Vol. 34, № 11, 1 August 2013, P. 1307–1313. Elsevier Ltd.
  7. Matveev Yu. The Problem of Voice Template Aging in Speaker Recognition Systems // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 345–353. Springer International Publishing Switzerland.
  8. Kozlov A., Kudashev O., Matveev Yu., Pekhovsky T., Simonchik K., Shulipa A. SVID SPEAKER RECOGNITION SYSTEM FOR THE NIST SRE 2012 // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 278–285. Springer International Publishing Switzerland.
  9. Chistikov P.G, Khomitsevich O.G. Improving prosodic break detection in a Russian TTS system // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 181–188.
    Springer International Publishing Switzerland.
  10. Khitrov M., Beldiman L., Vasiliev A. Statistical Language Aspects of Intonation and Gender Features Based on the Lithuanian Language // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 345–353. Springer International Publishing Switzerland.
  11. Simonchik K., Shchemelinin V. Examining vulnerability of voice verification systems to spoofing attacks by means of a TTS system // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 132–137. Springer International Publishing Switzerland.
  12. Kudashev J., Kozlov A. The Diarization System for an Unknown Number of Speakers // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 340–344. Springer International Publishing Switzerland.
  13. Stolbov M., Tatarnikova M. Speech and crosstalk detection for robust speech recognition using a dual microphone system // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 345–353. Springer International Publishing Switzerland.
  14. Tomashenko N., Khokhlov Y. Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data // Lecture Notes in Artificial Intelligence (LNAI), 2013, vol. 8113, P. 345–353. Springer International Publishing Switzerland.

2012

  1. Matveev Yu., Shulipa A. HISTOGRAM NORMALIZATION OF SPEECH FEATURES FOR SPEAKERS’ VERIFICATION // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2012, №6 (82). — P. 85-88.
  2. Simonchik K. IDENTIFICATION SYSTEM OF THE SPEAKER’S AGE GROUP BY SPONTANEOUS SPEECH RECORD // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №6 (82). – P. 89-93.
  3. Stolbov M. SIGNAL-TO-NOISE RATIO ESTIMATION ALGORITHM FOR SPEECH SIGNALS // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №6 (82). – P. 67-72.
  4. Matveev Yu. Biometric technologies of person identification by voice and other modalities // Vestnik MGTU. Priborostroenie. – 2012. – Special Issue № 3 “Biometric Technologies”. – P. 46-61.
  5. Raev A., Matveev Yu., Goloshchapova T. DRUG INTOXICATION INFLUENCE ON SPEAKERS’ VOICE FEATURES // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №5 (81). – P. 88-93.
  6. Bibikov S., Shapar A. MOVING TRAIN AS A SOURCE OF ACOUSTIC WAVES PROPAGATING IN THE RAILWAY TRACK // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №5 (81). – P. 152.
  7. Khitrov M.V. Speech recognition in staff control systems // Security Director. – 2012. – № 7(35). – P. 38-41.
  8. Khitrov M.V. Multimodal access system using voice biometrics // Security Director. – 2012. – № 5(33). – P. 48-53.
  9. Aleinik S., Matveev Yu., Raev A. Method of evaluation of speech signal clipping level // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №3(79). – P.79-83.
  10. Kudashev О., Pekhovsky T. Initialization problems of speakers’ segmentation systems based on variation Bayesian analysis // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №3(79). – P.83-87.
  11. Sholokhov A. Feature selection for speaker’s emotion recognition // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №3(79). – P. 150. Ссылка http://ntv.ifmo.ru/en/article/3889/article_3889.htm
  12. Chistikov P. HMM-Based Speech Synthesis // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №3(79). – P. 151.
  13. Bogatyrev V., Bibikov S. ESTIMATION OF FUNCTIONAL SAFETY FOR THE DUPLICATED COMPUTING SYSTEMS // Scientific and Technical Journal of Information Technologies, Mechanics and Optics. – 2012. – №2 (78). – P. 146.
  14. Belykh I.N., Kapustin A.I., Kozlov A.V., Lohanova A.I., Matveev Yu.N., Pekhovsky T.S., Simonchik K.K., Shulipa A.K. SPEAKER IDENTIFICATION SYSTEMFOR THE NIST SRE 2010 // «INFORMATICS AND ITS APPLICATIONS» Scientific journal. – 2012. – V.6. – Issue 1. – P. 24-31.

2011

  1. Nastasenko M.V., Dyrmovskii D.V. Effective Use of Speech Information and Biometric Technologies in Law Enforcement Agencies // Vestnik MGTU. Priborostroenie. Special Edition “Biometric Technologies”. 2011. P. 18-24.
  2. Chistikov P., Khomitsevich O. On-line automatic sentence boundary detection in a Russian ASR system // Vestnik MGTU. Priborostroenie, Special Edition “Biometric Technologies. 2011. P. 115-123.
  3. Chistikov P. Rybin S. Speech signal naturalness problem at Text-to-Speech systems // Journal «Computer technologies in education», 2011, №1.