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This paper describes the development of a Semi-Automatic 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".

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