Phonetic Acoustic Knowledge and Divide and Conquer Based Segmentation Algorithm 


Vol. 9,  No. 2, pp. 215-222, Apr.  2002
10.3745/KIPSTB.2002.9.2.215


PDF
  Abstract

This paper presents a reliable fully automatic labeling system which fits well with languages having well-developed syllables such as in Korean. The ASL System utilize DAC (Divide and Conquer), a control mechanism, based segmentation algorithm to use phonetic and acoustic information with greater efficiency. The segmentation algorithm is to divide speech signals into speechlets which is localized speech signal pieces and to segment each speechlet for speech boundaries. While HMM method has uniform and definite efficiencies, the suggested method gives framework to steadily develope and improve specified acoustic knowledges as a component. Without using statistical method such as HMM, this new method use only phonetic-acoustic information. Therefore, this method has high speed performance, is consistent extending the specific acoustic knowledge component, and can be applied in efficient way. we show experiment result to verify suggested method at the end.

  Statistics
  Cite this article

[IEEE Style]

C. M. Koo and G. N. Wang, "Phonetic Acoustic Knowledge and Divide and Conquer Based Segmentation Algorithm," The KIPS Transactions:PartB , vol. 9, no. 2, pp. 215-222, 2002. DOI: 10.3745/KIPSTB.2002.9.2.215.

[ACM Style]

Chan Mo Koo and Gi Nam Wang. 2002. Phonetic Acoustic Knowledge and Divide and Conquer Based Segmentation Algorithm. The KIPS Transactions:PartB , 9, 2, (2002), 215-222. DOI: 10.3745/KIPSTB.2002.9.2.215.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals