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Pattern Recognition and Machine Intelligence. 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS, volume 10597)
Springer, 2017.
Under the general editorship: B. U. Shankar, K. Ghosh, D. P. Mandal, S. S. Ray, D. Zhang, S. Pal
This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017.
The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.
Grachev A., Ignatov D. I., Savchenko A., , in : Pattern Recognition and Machine Intelligence. 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS, volume 10597). : Springer, 2017. P. 351-357.
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g., LSTM-based networks in language modeling, are characterized with either high space complexity or substantial inference time. This problem is especially crucial
for mobile applications, in which the constant interaction with ...
Added: October 14, 2018
Gostev I. M., Ermilov A., Известия Юго-Западного государственного университета 2011 № 2 С. 15-22
In this article we consider application of Support Vector Machines with different types of kernels to the task of speaker identification. We use Fisher features for several types of channels (telephone, GSM, microphone). We analyze dependence of accuracy from length of input sentence. ...
Added: January 31, 2014
Savchenko A., Savchenko L. V., Lecture Notes in Artificial Intelligence 2013 Vol. 7911 P. 176-183
The definition of a phoneme as a fuzzy set of minimal speech units from the model database is proposed. On the basis of this definition and the Kullback-Leibler minimum information discrimination principle the novel phoneme recognition algorithm has been developed as an enhancement of the phonetic decoding method. The experimental results in the problems of ...
Added: June 16, 2013
Savchenko A., Savchenko V.V., Journal of Communications Technology and Electronics 2016 Vol. 61 No. 4 P. 430-435
A words phonetic decoding method in automatic speech recognition is considered. The properties of Kullback–Leibler divergence are used to synthesize the estimation of the distribution of divergence between minimum speech units (e.g., single phonemes) inside a single class. It is demonstrated that the min imum variance of the intraphonemic divergence is reached when the phonetic ...
Added: April 11, 2016
Savchenko A., Lecture Notes in Artificial Intelligence 2017 Vol. 10314 P. 264-277
In this paper it is proposed to improve performance of the automatic speech recognition by using sequential three-way decisions. At first, the largest piecewise quasi-stationary segments are detected in the speech signal. Every segment is classified using the maximum a-posteriori (MAP) method implemented with the Kullback-Leibler minimum information discrimination principle. The three-way decisions are taken ...
Added: June 27, 2017
Savchenko L., Информационные технологии 2020 Т. 26 № 5 С. 290-296
article deals with the problem of isolated words recognition based on deep convolutional neural networks. The use of
existing recognition systems in practice is limited by an insufficiently high degree of their reliability functioning in conditions of intense acoustic noise, such as street noise, sounds from passing vehicles, etc. Nowadays, the most accurate recognition methods are characterized by ...
Added: September 2, 2020
Savchenko A., Journal of Communications Technology and Electronics 2014 Vol. 59 No. 4 P. 339-345
A phonetic approach to the problem of automatic recognition of isolated words is investigated.The phonetic encoding method whereby each word from a vocabulary is associated with the code sequenceof stable phonemes is proposed. The informationtheoretical estimate of vocabulary confusability, the calcuations of which rely on the phonetic database of a speaker and the communications channel ...
Added: April 8, 2014
Filipenkov N., Заворотная М. П., Управление финансовыми рисками 2020 Т. 62 № 2 С. 86-90
This article is based on the interview with M.Bukhtin (Head of Risk Modeling Department, the Central Bank of Russia) by M. Zavorotnaya and N. Filipenkov ...
Added: August 16, 2020
Savchenko A., Automation and Remote Control 2013 Vol. 74 No. 7 P. 1225-1232
The prototype of the isolated words recognition software based on the phonetic decoding method with the Kullback-Leibler divergence is presented. The architecture and basic algorithms of the software are described. Finally, an example of application to the problem of isolated words recognition is provided. ...
Added: August 1, 2013
Romanov A., Amerikanov A., Lezhnev E. et al., Прикладная радиоэлектроника 2016 Т. 15 № 2 С. 123-126
The paper describes the development of a robotic platform for buildings. The versatility of the platform allows its applying in various fields of human activity, both in the remote control and autonomous regime. The main steps involved in creating a robotic platform are described; its characteristics and working results are given. ...
Added: October 7, 2016
Savchenko A., Lecture Notes in Computer Science 2014 Vol. 8509 P. 638-646
Since the early 1990s, speaker adaptation have become one of the intensive areas in speech recognition. State-of-the-art batch-mode adaptation algorithms assume that speech of particular speaker contains enough information about the user's voice. In this article we propose to allow the user to manually verify if the adaptation is useful. Our procedure requires the speaker ...
Added: July 25, 2014
Savchenko A., Savchenko L. V., Lecture Notes in Artificial Intelligence 2014 Vol. 8536 P. 309-318
The problem of recognition of a sequence of objects (e.g., video-based image recognition, phoneme recognition) is explored. The generalization of the fuzzy phonetic decoding method is proposed by assuming the distribution of the classified object to be of exponential type. Its preliminary phase includes association of each model object with the fuzzy set of model ...
Added: July 25, 2014
Savchenko A., Savchenko Lyudmila V., Pattern Recognition Letters 2015 Vol. 65 P. 145-151
The key purpose of this paper is to train a voice control system if a small amount of user speech data is available without need for general acoustic model if the latter does not fit to the user voice due to known variability sources (childhood, voice diseases, non-nativeness, etc.). We explore the possibility to increase ...
Added: September 10, 2015
Savchenko L., Информационные технологии 2019 Т. 25 № 5 С. 313-318
We consider a problem of computer assisted language and pronunciation learning based on the deep learning methods and the information theory of speech perception. In order to improve the efficiency of testing of pronunciation quality, we propose to train a convolutional neural network using the best reference utterances from the user. The experimental results proved ...
Added: May 29, 2019
Кузнецов Д. С., Естественные и технические науки 2009 № 4 С. 365-369
В данной статье рассматривается фильтр Винера в качестве метода повышения эффективности работы систем распознавания речи. Приводятся сведения о возможных модификациях фильтра Винера для повышения степени шумоподавления. Рассматривается алгоритм работы программной реализации классического фильтра Винера и его модификаций. ...
Added: February 21, 2013
Savchenko A., Савченко В. В., Радиотехника и электроника 2016 Т. 61 № 4 С. 373-379
Рассмотрен метод фонетического кодирования–декодирования слов в задаче автоматического распознавания речи. На основе свойств информационного рассогласования Кульбака–Лейблера синтезирована оценка распределения рассогласования между минимальными речевыми единицами типа отдельных фонем внутри одного класса. Показано, что наименьшая дисперсия внутрифонемного рассогласования достигается при настройке фонетической базы данных на голос конкретного (одного) диктора. Полученные оценки подтверждены результатам экспериментальных исследований в задаче ...
Added: October 8, 2015
Toldova S., Azerkovich I., Гришина Ю. et al., / НИУ ВШЭ. Series WP BRP "Linguistics". 2015.
Building benchmark corpora in the domain of coreference and anaphora resolution is an important task for developing and evaluating NLP systems and models. Our study is aimed at assessing the feasibility of enhancing corpora with information about coreference relations. The annotation procedure includes identification of text segments that are subjects to annotation (markables), marking their ...
Added: December 15, 2015
Kiselyova N. N., Dudarev V.A., Korzhuev M. A., Inorganic Materials: Applied Research 2016 Vol. 7 No. 1 P. 34-39
A database (DB) on the bandgap of inorganic substances available via the Internet (http://bg.imetdb.ru) was developed for the information service of specialists in the sphere of inorganic chemistry and materials science. The DB is integrated with other information systems on the properties of inorganic substances and materials, which provides the search of a wide range ...
Added: February 23, 2016
Baibikova T., Domoratsky E., Вестник Московского финансово-юридического университета 2017 № 1 С. 200-206
Some questions of scientific visualization are under consideration in this paper. This article also discusses the peculiarities of application of cognitive computer graphics, singles out a range of tasks of scientific visualization. The paper gives a brief overview of modern support tools for program visualization, tendencies of their development and their main characteristics. A module ...
Added: June 10, 2017
Kalyagin V.A., Koldanov A.P., Koldanov P.A. et al., Physica A: Statistical Mechanics and its Applications 2014 Vol. 413 No. 1 P. 59-70
A general approach to measure statistical uncertainty of different filtration techniques for market network analysis is proposed. Two measures of statistical uncertainty are introduced and discussed. One is based on conditional risk for multiple decision statistical procedures and another one is based on average fraction of errors. It is shown that for some important cases ...
Added: July 19, 2014
Vishnekov A., Erokhin V., Ivanova E., Датчики и системы 2018 Т. 221 № 1 С. 18-24
The article discusses the recovery of distributed control systems of technical objects. The options for the design of subsystems recovery after hardware or software fault of the sensor system are investigated. The development of an integrated subsystems recovery is proposed on the basis of decision-making system to develop the most rational control actions by ...
Added: January 27, 2018
М. : National Instruments Russia, 2017
Содержание сборника составляют доклады с результатами оригинальных исследований и технических решений, ранее не публиковавшиеся. Мы надеемся, что предлагаемый сборник окажется полезным для специалистов, работающих в различных областях науки и техники, для широкого круга преподавателей, аспирантов и студентов ВУЗов, а также для преподавателей средних школ и технических колледжей. ...
Added: May 10, 2017
Furmanov K. K., Nikol'skii I. M., Computational Mathematics and Modeling 2016 Vol. 27 No. 2 P. 247-253
Added: December 22, 2016
Karpov V. E., Karpova I. P., Procedia Engineering 2015 Vol. 100 P. 1459-1468
Work solutions are proposed for problems of leader definition and role distribution in homogeneous groups of robots. It is shown that transition from a swarm to a collective of robots with hierarchical organization is possible using exclusively local interaction. The local revoting algorithm is central to the procedure for choice of leader while redistribution of roles can ...
Added: March 14, 2015
Kotelnikova M. V., Aistov A., Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки 2019 Т. 55 № 3 С. 183-189
The article describes a method that allows to improve the content of disciplines of the mathematical cycle by dividing them into invariant (general) and variable parts. The invariants were identified for such disciplines as «Linear algebra», «Mathematical analysis», «Probability theory and mathematical statistics» delivered to Bachelors program students of economics at several universities. Based on ...
Added: January 28, 2020