LEADER 01749nam 2200373 450 001 9910138264003321 005 20231214145445.0 010 $a953-51-5949-6 035 $a(CKB)3230000000075472 035 $a(iGPub)INOP0004191 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64871 035 $a(EXLCZ)993230000000075472 100 $a20200205010 xx c0 0 101 0 $aeng 135 $aurcn#|||m|||a 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in speech recognition 210 $cIntechOpen$d2010 210 1$a[Place of publication not identified] :$cIntechOpen,$d2010. 210 4$dİ2010 215 $a1 online resource (178 pages) 311 $a953-307-097-8 330 $aIn the last decade, further applications of speech processing were developed, such as speaker recognition, human-machine interaction, non-English speech recognition, and non-native English speech recognition. This book addresses a few of these applications. Furthermore, major challenges that were typically ignored in previous speech recognition research, such as noise and reverberation, appear repeatedly in recent papers. I would like to sincerely thank the contributing authors, for their effort to bring their insights and perspectives on current open questions in speech recognition research. 606 $aCOMPUTERS / Artificial Intelligence / General$2bisacsh 610 $aMachine learning 615 7$aCOMPUTERS / Artificial Intelligence / General. 700 $aShabtai$b Noam$4edt$01312116 702 $aShabtai$b Noam 906 $aBOOK 912 $a9910138264003321 996 $aAdvances in speech recognition$93030704 997 $aUNINA LEADER 05414nam 2200673Ia 450 001 9910829826103321 005 20230422043322.0 010 $a1-280-25331-2 010 $a9786610253319 010 $a0-470-24805-X 010 $a0-471-72611-7 010 $a0-471-72841-1 035 $a(CKB)1000000000018992 035 $a(EBL)226443 035 $a(SSID)ssj0000251094 035 $a(PQKBManifestationID)11227623 035 $a(PQKBTitleCode)TC0000251094 035 $a(PQKBWorkID)10248229 035 $a(PQKB)10729694 035 $a(MiAaPQ)EBC226443 035 $a(OCoLC)777630157 035 $a(EXLCZ)991000000000018992 100 $a19990309d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods in analytical chemistry$b[electronic resource] /$fPeter C. Meier, Richard E. Zu?nd 205 $a2nd ed. 210 $aNew York $cWiley$dc2000 215 $a1 online resource (452 p.) 225 1 $aChemical analysis ;$vv. 153 300 $a"A Wiley-Interscience publication." 311 $a0-471-29363-6 320 $aIncludes bibliographical references (p. 404-415) and index. 327 $aStatistical Methods in Analytical Chemistry; CHEMICAL ANALYSIS; CONTENTS; PREFACE; CHEMICAL ANALYSIS SERIES; INTRODUCTION; CHAPTER 1: UNIVARIATE DATA; 1.1 Mean and Standard Deviation; 1.1.1 The Most Probable Value; 1.1.2 The Dispersion; 1.1.3 Independency of Measurements; 1.1.4 Reproducibility and Repeatibility; 1.1.5 Reporting the Results; 1.1.6 Interpreting the Results; 1.2 Distributions and the Problem of Small Numbers; 1.2.1 The Normal Distribution; 1.2.2 Student's t Distribution; 1.3 Confidence Limits; 1.3.1 Confidence Limits of the Distribution; 1.3.2 Confidence Limits of the Mean 327 $a1.4 The Simulation of a Series of Measurements1.5 Testing for Deviations; 1.5.1 Examining Two Series of Measurements; 1.5.2 The t-Test; 1.5.3 Extension of the t-Test to More Than Two Series of Measurements; 1.5.4 Multiple-Range Test; 1.5.5 Outlier Tests; 1.5.6 Analysis of Variance (ANOVA); 1.6 Number of Determinations; 1.7 Width of a Distribution; 1.7.1 The F-Test; 1.7.2 Confidence Limits for a Standard Deviation; 1.7.3 Bartlett Test; 1.8 Charting a Distribution; 1.8.1 Histograms; 1.8.2 X2-Test; 1.8.3 Probability Charts; 1.8.4 Conventional Control Charts (Shewhart Charts); 1.8.5 Cumsum Charts 327 $a1.9 Errors of the First and Second KindCHAPTER 2: BI- AND MULTIVARIATE DATA; 2.1 Correlation; 2.2 Linear Regression; 2.2.1 The Standard Approach; 2.2.2 Slope and Intercept; 2.2.3 Residual Variance; 2.2.4 Testing Linearity and Slope; 2.2.5 Interpolating Y(x); 2.2.6 Interpolating X(y); 2.2.7 Limit of Detection; 2.2.8 Minimizing the Costs of a Calibration; 2.2.9 Standard Addition; 2.2.10 Weighted Regression; 2.2.11 The Intersection of Two Linear Regression Lines; 2.3 Nonlinear Regression; 2.3.1 Linearization; 2.3.2 Nonlinear Regression and Modeling; 2.4 Multidimensional Data/Visualizing Data 327 $aCHAPTER 3: RELATED TOPICS3.1 GMP Background: Selectivity and Interference/Linearity/Accuracy/Precision/Reliability/Economic Considerations; 3.2 Development, Qualification, and Validation; Installation Qualification, Operations Qualification, Performance Qualification/Method Development/Method Validation; 3.3 Data Treatment Scheme: Data Acquisition/Acceptance Criteria/Data Assembly and Clean-up/Data Evaluation/ Presentation of R; 3.4 Exploratory Data Analysis (EDA); 3.5 Optimization Techniques; 3.5.1 Full Factorial vs. Classical Experiments; 3.5.2 Simplex-Guided Experiments 327 $a3.5.3 Optimization of the Model: Curve Fitting3.5.4 Computer Simulation; 3.5.5 Monte Carlo Technique (MCT); 3.6 Smoothing and Filtering Data/Box-Car Averaging/Moving Average/Savitzky-Golay Filtering/CUSUM; 3.7 Error Propagation and Numerical Artifacts; 3.8 Programs; CHAPTER 4: COMPLEX EXAMPLES; 4.1 To Weigh or Not to Weigh; 4.2 Nonlinear Fitting; 4.3 UV-Assay Cost Structure; 4.4 Process Validation; 4.5 Regulations and Realities; 4.6 Diffusing Vapors; 4.7 Stability a la Carte; 4.8 Secret Shampoo Switch; 4.9 Tablet Press Woes; 4.10 Sounding Out Solubility; 4.11 Exploring a Data Jungle 327 $a4.12 Sifting Through Sieved Samples 330 $aThis new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods.Unlike other books on the subject, Statistical Methods in Analytical Chemistry, Second Edition presents and solves problems in the co 410 0$aChemical analysis ;$vv. 153. 606 $aChemometrics 606 $aChemistry 615 0$aChemometrics. 615 0$aChemistry. 676 $a543.0072 676 $a543/.007/2 700 $aMeier$b Peter C.$f1945-$01691009 701 $aZu?nd$b Richard E$01691010 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829826103321 996 $aStatistical methods in analytical chemistry$94067099 997 $aUNINA