word boundary- hypothesisation in hindi speech - Speech and ...

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THESIS CERTIFICATE This is to certify that the thesis entitled WORD BOUNDARY HYPOTHESISATION IN HINDI SPEECH submitted by GADDE VENKATA RAMANA RAO to the Indian Institute of Technology, Madras for the award of the degree of Doctor of Philosophy is a bonafide record of research work carried out by him under my supervision. The contents of this thesis have not been submitted and will not be submitted to any other Institute or University for the award of any degree or diploma. Madras 600 036 Date: [g.L.qq- (B. Yegnanarayana) Professor De t. of Computer Sci.&Engg. I1 ? , Madras.
ACKNOWLEDGEMENTS I thank my research guide Prof. B.Yegnanarayana for the encouragement and support he had given me throughout the course of this research work. I had several discussions with him which greatly helped me in doing the research work as well as in writing the thesis. I gratefully acknowledge the time and effort that my research guide has spent on me. I thank Prof. Kamala Krithivasan, Head, Department of Computer Science and Engineering, IIT, Madras for providing me the facilities to carry out my research work and also for the advice she had given me at critical times. I also thank the faculty and the staff of the Department of Computer Science and Engineering for the support they had given me. This work could not have been completed but for the help given to me by my friends Dr. P. Eswar and M. Prakash, and colleagues in the Department of Computer Science and Engineering, Dr. Hema A. Murthy and C. Chandra Sekhar. I gratefully acknowledge their contributions, in matters technical and personal. The support they gave me, in the form of technical discussions and also in the form of pep talks, have greatly helped me.1 also acknowledge the support of my colleagues, R. Sundar and N. Alwar and my friends Dr. K.V. Madhu Murthy and Dr. C.P. Mariadassou, who helped me at various stages of my research. I acknowledge the cooperation I received from the members of Speech and Vision Laboratory, in particular from S. Rajendran and R. Ramaseshan. I am grateful to N. Naveen Kumar, who assisted me in collecting the speech data for my research.
Page 1: Dr. €3. YEGNANARAYANA Professor D
Page 5 and 6: -3 SIGNIFICANCE OF WORD BOUNDARIES
Page 7 and 8: 6.6 Location of word boundaries fro
Page 9 and 10: ABSTRACT This thesis addresses the
Page 11 and 12: \ known. The lexical analyser can n
Page 13 and 14: alounddhelongtableheagsnoddedenunis
Page 15 and 16: word boundaries into a text with wo
Page 17 and 18: words. The idea is to spot symbol s
Page 19 and 20: F1 position at a vowel-consonant bo
Page 21 and 22: -a2 A REVIEW OF THE STUDIES ON, WOR
Page 23 and 24: 1. When a midclass representation w
Page 25 and 26: particular interest is the performa
Page 27 and 28: was found that at broadclass level,
Page 29 and 30: in speaking rate indicate phrase bo
Page 31 and 32: y an estimator function E from the
Page 33 and 34: studies, the following issues are i
Page 35 and 36: 2. The effect of word boundary info
Page 37: * This selection can be done in man
Page 40 and 41: me : me:ra: metra: na: me:ra: na:m
Page 42 and 43: No. of alternatives 0-10 10-100 100
Page 44 and 45: 3.3.2 Results of lexical analysk wi
Page 46 and 47: had to be restricted to the above r
Page 48 and 49: Match Sentence nunber cost 1 2 3 4
Page 50 and 51: Match Sentence nuher cost 1 2 3 4 5
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6 10 Number of 10 a1 ternate word s
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lexlcal analysis Mismatch cost Fig.
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had all word boundaries, is plotted
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Watch Sentence number cost 1 2 3 4
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Time lor lexical analysis 0 1 2 3 4
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Match Sentence tunter cost 1 2 3 4
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Time lor lexical analysis 1 0 1 2 3
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speech recognition process. On the
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proposed clues are based on the obs
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Case Markers: Pronouns : ka:, ki:,
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form. The above Hindi text was corr
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that if there are some substitution
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These measures were defined as foll
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Case Conjunc- Pronouns Verb Aux . A
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- I-' X Error in input text X Error
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% Error Fig.4.4 Results of word bou
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% Error Fig.4.5 A comparison of the
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0 I 1 I 0 10 20 30 40 50 60 % Error
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60 4 0 No. of subsentences No. of s
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LC1: A Hindi word can end either in
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Fig.4.10 along with the results for
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oundaries spotted) against system s
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from other words, such as 'national
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dictionary contained nearly 30000 w
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Vowel sequences Consonant sequences
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VC' were considered. It can be obse
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percentage of incorrect hypotheses
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% Error in input text 0 10 20 30 40
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% Error Fig.5.1 Results of word bou
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hypotheses produced by the lexical
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transformed into other nonword-inte
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WB hyp. errors 300 - 200 - ( v+> 10
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number of incorrect hypotheses will
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I--- Correctness 60 8o lmprovement
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% Error in input text 10 20 30 40 5
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will be smaller and hence S and P(y
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word boundary is within the consona
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clues except for clues of types CV'
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Pauses in speech, though small in n
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Several studies on English speech s
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Speaker VB hypotheses at various th
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Speaker UF hypotheses at various th
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Speaker UF hypotheses at various th
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Fig.6.1 The plot of pitch frequency
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From the results, it can be seen th
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speakers, with the incorrect hypoth
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durational effects. One possible ex
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From these results, it can be seen
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shown that the prosodic features of
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chapter 7 WORD BOUNDARY CLUES BASED
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consonants. Thus one can consider o
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Speaker VB hypotheses(VB:&) at vari
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Speaker UF hypotheses(UF:UI) at var
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Speaker UB hypotheses(UB:B) at vari
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high speaking rates. This is also b
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vowels preceding word boundaries, i
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word-final vowels than word-interna
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8.1 Introduction PERFORMANCE OF WOR
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Match Sentence nunber, cost 1 2 3 4
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75 Reduction in the time for lexica
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The reduction in the lexical analys
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Hatch Sentence nuher cost 1 2 3 4 5
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Chapter 9 SUMMARY AND CONCLUSIONS I
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In the last study (described in cha
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the language and lexical clues are
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REFERENCES Baken R.J. and Daniloff
Page 185 and 186:
Cutler A. and Butterfield S. (199lb
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Prakash M., Ramana Rao G,V., Chandr
Page 189 and 190:
Zelenski R. and Class F. (1983), A
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