Recognition of syllables in tone languages (Record no. 98000)

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035 ## - SYSTEM CONTROL NUMBER
System control number .b11826848
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no. TC-00-01
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Tanee Demeechai
245 10 - TITLE STATEMENT
Title Recognition of syllables in tone languages
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2000
300 ## - PHYSICAL DESCRIPTION
Extent 91 p.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. TC-00-01
500 ## - GENERAL NOTE
General note A dissertaion submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering, School of Engineering and Technology
520 ## - SUMMARY, ETC.
Summary, etc. Spcech recognition of tone languages requires detection of the tone in addition to detection of the consonants and vowels of a syllable. Two approaches for recognition of tonal syllables have been proposed in the literature: joint detection and sequential detection. In joint detection, recognition is done by employing a hidden Markov model (HMM) of connected tonal syllasbles, in which the pitch and its time derivative are included into the feaure vector in addition to the phonetic features. In sequential detection, base syllables (syllables ignoring their tones) are recognized by using a HMM of connected base syllables only; the estimated syllable boundaries are then used for subsequent tone recognition in a separate HMM of tones. Joint detection performs better than sequential detection, but its computational complexity is higher. In this thesis, a new approach caled linked detection is proposed to achieve performance close to that of joint detection with computational complexity close to that of sequential detection. In linked detection, the recognition in the HMM of connected base sykkabkes is modified to periodically take into account also tonal likelihood computed form a HMM of tones. Likeed detection can provide performance that is comparable to the performance of joint detection and superior to that of sequential detection. For a large vocabulary task, the computational complexity of linked detection is much lower than that of joint detection while it is only slightly higher than that of sequential detection. In our experiment on recognition of 173 Thai-language syllables, the worst recognition rate obtained from sequential detection is 72% This result is comparable to results of the IBM Mandarin Call Home system (LIU et al., 1996), where a syllable recognition rate of 50% is reported for an experiment, in which the speech data are conversational telephone speech data and a word-pair language model is applied so that the perplexity is 15.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tone (Phonetics)
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Speech perception
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Speech processing systems
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Makelainen, Kimmo,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sadanada, Ramakoti,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed, Kazi Mohiuddin,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rajatheva, R.M.A.P,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lee, Chin-Hui,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Royal Thai Govenment (RTG),
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. TC-00-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B00038">http://203.159.5.9/ait-thesis/detail.php?q=B00038</a>
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Cataloger's initials, CIN (RLIN) 010529
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Koha item type 22-AIT Thesis (Replacement)
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Koha item type 40-Archives
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Koha item type 20-AIT Publication
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Diss. no. TC-00-01 30050120565600 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Diss. no. TC-00-01 30050120235238 18/08/2026 1 18/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Diss. no. TC-00-01 30050211023725 18/08/2026 1 18/08/2026 20-AIT Publication 50.00
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