Thesis. 1978. Sc.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Vita. / Includes bibliographical references. / Sc.D.

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Vita. / Bibliography: leaves 130-138. / by Michael Allen Krasner. / Ph.D.

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Lori F. Lamel. / M.S.

Thesis. 1976. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / Microfiche copy available in Archives and Engineering. / Vita. / Bibliography: leaves 138-140. / Ph.D.

Thesis (Elec.E)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Bibliography: leaves 173-175. / by Samuel Holtzman Dantus. / Elec.E

Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographies. / Ph.D.

Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / M.S.

Thesis. 1978. Sc.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Vita. / Bibliography: p. 142-145. / Sc.D.

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Bibliography: leaves 116-117. / by Francine Robina Chen. / M.S.

Hui Pui Yu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 158-169). / Abstracts in English and Chinese. / Abstract --- p.2 / Acknowledgements --- p.6 / Chapter 1 --- Introduction --- p.23 / Chapter 1.1 --- Spoken Document Retrieval --- p.24 / Chapter 1.2 --- The Chinese Language and Chinese Spoken Documents --- p.28 / Chapter 1.3 --- Motivation --- p.33 / Chapter 1.3.1 --- Assisting the User in Query Formation --- p.34 / Chapter 1.4 --- Goals --- p.34 / Chapter 1.5 --- Thesis Organization --- p.35 / Chapter 2 --- Multimedia Repository --- p.37 / Chapter 2.1 --- The Cantonese Corpus --- p.37 / Chapter 2.1.1 --- The RealMedia´ёØCollection --- p.39 / Chapter 2.1.2 --- The MPEG-1 Collection --- p.40 / Chapter 2.2 --- The Multimedia Markup Language --- p.42 / Chapter 2.3 --- Chapter Summary --- p.44 / Chapter 3 --- Monolingual Retrieval Task --- p.45 / Chapter 3.1 --- Properties of Cantonese Video Archive --- p.45 / Chapter 3.2 --- Automatic Speech Transcription --- p.46 / Chapter 3.2.1 --- Transcription of Cantonese Spoken Documents --- p.47 / Chapter 3.2.2 --- Indexing Units --- p.48 / Chapter 3.3 --- Known-Item Retrieval Task --- p.49 / Chapter 3.3.1 --- Evaluation ´ؤ Average Inverse Rank --- p.50 / Chapter 3.4 --- Retrieval Model --- p.51 / Chapter 3.5 --- Experimental Results --- p.52 / Chapter 3.6 --- Chapter Summary --- p.53 / Chapter 4 --- The Use of Audio and Video Information for Monolingual Spoken Document Retrieval --- p.55 / Chapter 4.1 --- Video-based Segmentation --- p.56 / Chapter 4.1.1 --- Metric Computation --- p.57 / Chapter 4.1.2 --- Shot Boundary Detection --- p.58 / Chapter 4.1.3 --- Shot Transition Detection --- p.67 / Chapter 4.2 --- Audio-based Segmentation --- p.69 / Chapter 4.2.1 --- Gaussian Mixture Models --- p.69 / Chapter 4.2.2 --- Transition Detection --- p.70 / Chapter 4.3 --- Performance Evaluation --- p.72 / Chapter 4.3.1 --- Automatic Story Segmentation --- p.72 / Chapter 4.3.2 --- Video-based Segmentation Algorithm --- p.73 / Chapter 4.3.3 --- Audio-based Segmentation Algorithm --- p.74 / Chapter 4.4 --- Fusion of Video- and Audio-based Segmentation --- p.75 / Chapter 4.5 --- Retrieval Performance --- p.76 / Chapter 4.6 --- Chapter Summary --- p.78 / Chapter 5 --- Document Expansion for Monolingual Spoken Document Retrieval --- p.79 / Chapter 5.1 --- Document Expansion using Selected Field Speech Segments --- p.81 / Chapter 5.1.1 --- Annotations from MmML --- p.81 / Chapter 5.1.2 --- Selection of Cantonese Field Speech --- p.83 / Chapter 5.1.3 --- Re-weighting Different Retrieval Units --- p.84 / Chapter 5.1.4 --- Retrieval Performance with Document Expansion using Selected Field Speech --- p.84 / Chapter 5.2 --- Document Expansion using N-best Recognition Hypotheses --- p.87 / Chapter 5.2.1 --- Re-weighting Different Retrieval Units --- p.90 / Chapter 5.2.2 --- Retrieval Performance with Document Expansion using TV-best Recognition Hypotheses --- p.90 / Chapter 5.3 --- Document Expansion using Selected Field Speech and N-best Recognition Hypotheses --- p.92 / Chapter 5.3.1 --- Re-weighting Different Retrieval Units --- p.92 / Chapter 5.3.2 --- Retrieval Performance with Different Indexed Units --- p.93 / Chapter 5.4 --- Chapter Summary --- p.94 / Chapter 6 --- Query Expansion for Cross-language Spoken Document Retrieval --- p.97 / Chapter 6.1 --- The TDT-2 Corpus --- p.99 / Chapter 6.1.1 --- English Textual Queries --- p.100 / Chapter 6.1.2 --- Mandarin Spoken Documents --- p.101 / Chapter 6.2 --- Query Processing --- p.101 / Chapter 6.2.1 --- Query Weighting --- p.101 / Chapter 6.2.2 --- Bigram Formation --- p.102 / Chapter 6.3 --- Cross-language Retrieval Task --- p.103 / Chapter 6.3.1 --- Indexing Units --- p.104 / Chapter 6.3.2 --- Retrieval Model --- p.104 / Chapter 6.3.3 --- Performance Measure --- p.105 / Chapter 6.4 --- Relevance Feedback --- p.106 / Chapter 6.4.1 --- Pseudo-Relevance Feedback --- p.107 / Chapter 6.5 --- Retrieval Performance --- p.107 / Chapter 6.6 --- Chapter Summary --- p.109 / Chapter 7 --- Conclusions and Future Work --- p.111 / Chapter 7.1 --- Future Work --- p.114 / Chapter A --- XML Schema for Multimedia Markup Language --- p.117 / Chapter B --- Example of Multimedia Markup Language --- p.128 / Chapter C --- Significance Tests --- p.135 / Chapter C.1 --- Selection of Cantonese Field Speech Segments --- p.135 / Chapter C.2 --- Fusion of Video- and Audio-based Segmentation --- p.137 / Chapter C.3 --- Document Expansion with Reporter Speech --- p.137 / Chapter C.4 --- Document Expansion with N-best Recognition Hypotheses --- p.140 / Chapter C.5 --- Document Expansion with Reporter Speech and N-best Recognition Hypotheses --- p.140 / Chapter C.6 --- Query Expansion with Pseudo Relevance Feedback --- p.142 / Chapter D --- Topic Descriptions of TDT-2 Corpus --- p.145 / Chapter E --- Speech Recognition Output from Dragon in CLSDR Task --- p.148 / Chapter F --- Parameters Estimation --- p.152 / Chapter F.1 --- "Estimating the Number of Relevant Documents, Nr" --- p.152 / Chapter F.2 --- "Estimating the Number of Terms Added from Relevant Docu- ments, Nrt , to Original Query" --- p.153 / Chapter F.3 --- "Estimating the Number of Non-relevant Documents, Nn , from the Bottom-scoring Retrieval List" --- p.153 / Chapter F.4 --- "Estimating the Number of Terms, Selected from Non-relevant Documents (Nnt), to be Removed from Original Query" --- p.154 / Chapter G --- Abbreviations --- p.155 / Bibliography --- p.158