, Speech, and Language Processing, IEEE Trans., 15, 1, 80-95.  NAYLOR P.A., GAUBITCH N.D. (2005), Speech dere-verberation , [in:] Proc. of Int. Workshop Acoust. Echo Noise Control, Eindhoven.  PALOMAKI K.J., BROWN G.J., WANG D. (2004), A binaural processor for missing data speech recognition in the presence of noise and small-room reverberation , Speech Communication, 43, 4, 361-378.  PEARCE D., HIRSCH H. (2000), The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions , [in:] ISCA ITRW ASR
Mikolaj Kundegorski, Philip J.B. Jackson and Bartosz Ziółko
D. Hauserova, J. Dlouhy and M. Kover
Iron and Steel Reasearch 17, 45-52 (2010).  H.K.D.H. Bhadeshia, Steels for bearings,Progress in Materials Science 57, 268-435 (2012).  D. Hauserova, J. Dlouhy, Z. Novy, Effect of Heating Rate on Accelerated Carbide Spheroidisation (ASR) in 100CrMnSi6-4 Bearing Steel,Archives of Metallurgy and Materials 59, 1199 (2014).  D. Hauserova, J. Dlouhy, Z. Novy, Microstructure Development of Bearing Steel during Accelerated Carbide Spheroidisation, Materials Science Forum 782, 123-128 (2014).
Ahmad Soltanzadeh, Iraj Mohammadfam, Abbas Moghimbeigi and Reza Ghiasvand
Construction industry involves the highest risk of occupational accidents and bodily injuries, which range from mild to very severe. The aim of this cross-sectional study was to identify the factors associated with accident severity rate (ASR) in the largest Iranian construction companies based on data about 500 occupational accidents recorded from 2009 to 2013. We also gathered data on safety and health risk management and training systems. Data were analysed using Pearson’s chi-squared coefficient and multiple regression analysis. Median ASR (and the interquartile range) was 107.50 (57.24- 381.25). Fourteen of the 24 studied factors stood out as most affecting construction accident severity (p<0.05). These findings can be applied in the design and implementation of a comprehensive safety and health risk management system to reduce ASR.
D. Hauserova, J. Dlouhy and Z. Novy
Typical processing routes for bearing steels include a soft annealing stage, the purpose of which is to obtain a microstructure containing globular carbides in ferritic matrix. A newly developed process called ASR cuts the carbide spheroidisation times several fold, producing considerably finer globular carbides than conventional soft annealing. The present paper explores the effect of the heating rate and temperature on the accelerated carbide spheroidisation process and on the resulting hardness. Accelerated spheroidisation was achieved by thermal cycling for several minutes around various temperatures close to the transformation temperature at various heating rates applied by induction heating.
Krzysztof Kłobucki and Tomasz Mąka
Estimation of Hardware Requirements for Isolated Speech Recognition on an Embedded Systems
In recent years, speech recognition functionality is increasingly being added in embedded devices. Because of limited resources in these devices, there is a need to assess whether the defined speech recognition system is feasible within given constraints, as well as estimating how many resources the system needs. In this paper, an attempt has been taken to define a technique for estimating hardware resources usage in the speech recognition task. To determine the parameters and their dependencies in this task, the two systems were tested. The first system utilized Dynamic Time Warping pattern matching technique, the second used Hidden Markov Models. For each case, the measurement of recognition rate and time, vocabulary database size and learning time has been performed. Obtained results have been exploited to define linear and polynomial regression models, and finally, an estimation algorithm has been developed using these models. After testing proposed approach, it was observed that even low-end mobile phones have sufficient hardware resources for realisation of isolated speech recognition system.
Jukka Lahdensivu, Pirkko Kekäläinen and Alina Lahdensivu
aggregate reaction damaged swimming pool,” Case Studies in Construction Materials , Vol. 3, 2015, pp. 1-8. 5. Lahdensivu, J., Köliö, A., Husaini, D., “ASR possibilities in Finnish concrete bridges”, In Grantham, M. G, Papayianni, I., Sideris, K. (editors) Concrete Solutions, Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 CRC Press, 2016, pp. 61-64. 6. Appelquist, K., Trägårdh, J., Döse, M. & Göransson, M. “Alkali silica-reactivity of Swedish aggregates used for concrete,” Proceedings , Nordic-Baltic workshop on
J. Zapała-Sławeta and Z. Owsiak
R eferences  Z. Owsiak, J. Zapała-Sławeta, and P. Czapik, “Diagnosis of concrete structures distress due to alkali-aggregate reaction”, Bull. Pol. Ac.: Tech. 63 (1), 23‒29 (2015).  Z. Owsiak and P. Czapik, “Interfacial transition zone of cement paste-reactive aggregate in cement-zeolite mortars”, Bull. Pol. Ac.: Tech. 63(1), 31‒34 (2015).  W. Drożdż and Z. Giergiczny, “Badanie reakcji alkalicznej ASR w betonie z cementów zawierających popiół lotny wapienny”, Corros. Prot . 6, 216‒219 (2014).  Z. Owsiak and A. Mazur
Ramin Zadghaffari and Saeid Saati Asr
The aims of the current study is to investigate the constraint of using caustic soda in water treatment and evaluating its performance in water softening, compared to the other chemical group, including lime and sodium carbonate. Based on mass balance of reactants in the caustic softening process, a mathematical relation for expressing the constraint of using caustic soda in water softening was derived. To evaluate caustic soda performance in water softening and prove the derived relation as well, some experimental works on some water sources including well water and clarifi er’s inlet water in two oil refi neries were performed. The results showed that compared to limesodium carbonate, the caustic soda is the best choice for water softening; however, using caustic soda in water softening, while restrictive mathematical relation does not verify the chemical characteristics of water, could lead to an extreme increase in alkalinity.
Grażyna Demenko, Agnieszka Wagner and Natalia Cylwik
software for teaching discourse intonation , Language Learning & Technology, 2 , (1), 61-77. Cylwik N., Demenko G., Jokisch O., Jäckel R., Rusko M., Hoffmann R., Ronzhin A., Hirschfeld D., Koloska U., Hanisch L. (2008), The use of CALL in acquiring foreign language pronunciation and prosody - general specifications for Euronounce Project , Proceedings of Speech Analysis, Synthesis and Recognition (SASR), Piechowice. Cylwik N.,Wagner A., Demenko G. (2009), The EURONOUNCE corpus of non-native Polish for ASR
Arnel C. Fajardo and Yoon-joong Kim
An Automatic Speech Recognition (ASR) converts the speech signals into words. The recognized words can be the final output or it can be an input for a natural language processing. In this paper, vowel recognizer using Continuous density HMM and Mel-Frequency Cepstral Coefficient (MFCC) were used for feature extraction for its development, and phonetically balanced words (PBW) in Filipino were developed. Thus, this study is a preparation for Filipino Language ASR using HMM. For vowel recognizer, forty speakers were trained (20 male and 20 female speakers). An average accuracy rate of 94.5% was achieved for speaker-dependent test and 90.8% for speaker independent test. For PBW, 2 word lists were developed consisting of 257 words for the 2-syllable Filipino PBW word list and 212 words for the 3-syllable Filipino PBW word list.