Download Advances in Swarm Intelligence: Third International by Seyed Naser Razavi, Nicolas Gaud, Abderrafiâa Koukam, Naser PDF

By Seyed Naser Razavi, Nicolas Gaud, Abderrafiâa Koukam, Naser Mozayani (auth.), Ying Tan, Yuhui Shi, Zhen Ji (eds.)

This booklet and its spouse quantity, LNCS vols. 7331 and 7332, represent the lawsuits of the 3rd foreign convention on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The one hundred forty five complete papers awarded have been conscientiously reviewed and chosen from 247 submissions. The papers are geared up in 27 cohesive sections masking all significant themes of swarm intelligence study and developments.

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In: ICASSP (2009) 6. : Praat, a system for doing phonetics by computer. Glot International, 341–345 (2002) 7. : Perceptual linear predictive (PLP) analysis of speech. Journal of the Acoustical Society of America (1990) 8. : Phone-level pronunciation scoring and assessment for interactive language learning. Speech Communication (2000) 9. : Phone-level Pronunciation Scoring and Assessment for Interactive Language Learning. Speech Communication, 95–108 (2000) 10. : A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models.

28 B. Song and M. Li Fig. 1. 1 Rich Client-Side The client presentation layer is in charge of downstage interface display of e-Learning system, the implementation of which includes two parts: one is HTML, CSS, photograph and etc that do not need GWT compiling; the others are Java interface codes that need be translated into JavaScript. The former is similar to the development of B/S mode, and the latter is mainly responsible for the management and use of GWT UI widget. In order to embody the technical features of rich client-side, the functions of data cache and logic calculation should be provided in the client logic layer of client-side.

Generating survival times to simulate Cox proportional hazards models. cn Abstract. In this paper, the computer automatic scoring for English discourse oral reading was studied. We analyzed the oral reading voices with speech recognition technology, and extracted a series of features in terms of pronunciation and fluency, and then mapped these features to scores. 57. The experience result shows that this system can be used in practice. Keywords: Automatic Scoring, Pronunciation Quality. 1 Introduction In China, the oral English test was added in entrance high middle school test by more and more provinces.

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