An HMM based semi-automatic syllable labeling system for Manipuri language

Autor:	Sushanta Kabir Dutta, Salam Nandakishor, L. Joyprakash Singh
Rok vydání:	2015
Předmět:	Agglutinative language Computer science business.industry Speech recognition Phonetic transcription Feature extraction computer.software_genre Time deviation Analysis software Segmentation Artificial intelligence Semi automatic Hidden Markov model business computer Natural language processing
Zdroj:	International Conference on Computing, Communication & Automation.
DOI:	10.1109/ccaa.2015.7148548
Popis:	This paper describes the development of a SemiAutomatic Syllable Labeling System for the Manipuri language which is a scheduled Indian language of Tibeto-Burman origin and very highly agglutinative language. A system is developed using HMM tool kit (HTK), version 3.4 and later analyzed using popular speech analysis software (WaveSurfer), version 8.5.8. The HTK has been used for training, segmentation and labeling of the data. The system can segment the manual phonetic transcription into syllables with timing information. The syllable offset and onset of the automatic and the manual syllable labeling are compared to calculate the “Time Deviation” (W) of each syllable. We have found the “Average Deviation” of the syllables of our system is 25 ms. The Detection Rate of the syllables of the system is calculated by considering various “Time Deviations”.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f02de847f3449ee7d233a3e23456d2d8 https://doi.org/10.1109/ccaa.2015.7148548 Zobrazit plný text záznamu