%PDF-1.5 % 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (Background) endobj 9 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 12 0 obj (Automatic Speech Recognition in Education) endobj 13 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 16 0 obj (Feature Extraction and Speech Enhancement Techniques for Robust Speech Recognition) endobj 17 0 obj << /S /GoTo /D (subsubsection.2.2.1) >> endobj 20 0 obj (Feature Extraction Techniques used in ASR systems) endobj 21 0 obj << /S /GoTo /D (subsubsection.2.2.2) >> endobj 24 0 obj (Speech Enhancement Techniques for improved ASR) endobj 25 0 obj << /S /GoTo /D (subsection.2.3) >> endobj 28 0 obj (Machine Learning Techniques for Automatic Speech Recognition) endobj 29 0 obj << /S /GoTo /D (subsubsection.2.3.1) >> endobj 32 0 obj (Convolutional Neural Networks) endobj 33 0 obj << /S /GoTo /D (subsubsection.2.3.2) >> endobj 36 0 obj (Recurrent Neural Networks) endobj 37 0 obj << /S /GoTo /D (section.3) >> endobj 40 0 obj (Model Overview) endobj 41 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 44 0 obj (Preparation) endobj 45 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 48 0 obj (Speech Processing) endobj 49 0 obj << /S /GoTo /D (subsection.3.3) >> endobj 52 0 obj (Lesson Transcript Generation) endobj 53 0 obj << /S /GoTo /D (subsection.3.4) >> endobj 56 0 obj (Educator Tagged Keywords and Course Content) endobj 57 0 obj << /S /GoTo /D (subsection.3.5) >> endobj 60 0 obj (Topic-oriented Lesson Summary Generation) endobj 61 0 obj << /S /GoTo /D (section.4) >> endobj 64 0 obj (Proof of Concept Prototype Overview) endobj 65 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 68 0 obj (Large Vocabulary Continuous Speech Recognition \(LVCSR\)) endobj 69 0 obj << /S /GoTo /D (subsection.4.2) >> endobj 72 0 obj (The Wave Handler Module) endobj 73 0 obj << /S /GoTo /D (subsection.4.3) >> endobj 76 0 obj (Database Design for Lesson Summary Generation) endobj 77 0 obj << /S /GoTo /D (subsection.4.4) >> endobj 80 0 obj (The String Handler Module) endobj 81 0 obj << /S /GoTo /D (subsection.4.5) >> endobj 84 0 obj (The Aho-Corasick Keyword Search) endobj 85 0 obj << /S /GoTo /D (subsection.4.6) >> endobj 88 0 obj (The Lesson Analyser Program) endobj 89 0 obj << /S /GoTo /D (section.5) >> endobj 92 0 obj (Evaluation of the Prototype) endobj 93 0 obj << /S /GoTo /D (subsection.5.1) >> endobj 96 0 obj (Chosen Prototype Performance Metrics) endobj 97 0 obj << /S /GoTo /D (subsection.5.2) >> endobj 100 0 obj (Specification of Test Samples) endobj 101 0 obj << /S /GoTo /D (subsection.5.3) >> endobj 104 0 obj (Prototype Test Cases) endobj 105 0 obj << /S /GoTo /D (subsection.5.4) >> endobj 108 0 obj (Prototype Test Results) endobj 109 0 obj << /S /GoTo /D (section.6) >> endobj 112 0 obj (Discussion of Prototype Performance) endobj 113 0 obj << /S /GoTo /D (section.7) >> endobj 116 0 obj (Conclusion and Future Work) endobj 117 0 obj << /S /GoTo /D [118 0 R /Fit] >> endobj 132 0 obj << /Length 4488 /Filter /FlateDecode >> stream xڥ˒ܶK*3 t.Q)vݡǘ7_nt93VT`/@qnFl8UCToկ]"cbVy_͟Wa=o^}& R#a# bnbH7w͏ׇYn/u-fw"." =6m3éDz)ls?5Nm;vMV~&Q^ ՚Nm` ZV!='ԡ__[Gϧ-/i0~zz 29ۚ 'I>S@}ߏ [f쇱C*{^?wwLqhBDžj#MWl@MHpWi1 Xn:I +)qڋ@(o&5V QsQR Ii( /f= fuñ8{>PZdqhkXi dWG*){~_4E&Ƙ K LE;ߎuu%^[d bDzዪm4F-y& L[P8cQ&|ȼmM ]V__ց@Y5\n@\=rd;y3vT\v;ofPy\IZ;jx2zWS~ 7~%kPfpUF8i$Rd`5Q@~w8n#|G?5p ʟx}wneAXpsy(M6OvW06`"I-KDY H'-0xfY&Z~ho'u-@o9`Ḏ|hQ^X2BF+08 3?ujч]T+HhGN ]YyObJB-WUg|S&.vQ}~j-R~⮌W0ڝ,b'o Yn}&Tc(ЫUu 5az< u۶7;#N-%[`_~3b \M}sܷa`-;H]y2;wcǶcud"SXHPC|< <Ǐ%HJq2'ӊvslJ}GYO/ذ3Y &Qv>A$P[%У$At&!a*|͇q"R[CNy*|7;@cPzּ>ǀ/Ri$`$k:C$S A%U'eq~)ci8Mب;Seul3Z=]gBy {<;e֣ÊFE2Uu Yv %p &Ma/Ȥ=2%4 0}QJW(QBi+*RY)f 1U%$Q5G|"ө, ^\K^nt6,e iX::tI=5}.XG(m0