Multitier Annotation of Urdu Speech Corpus

This paper describes the multi-level annotation process of Urdu speech corpus and its quality assessment using PRAAT. The annotation of speech corpus has been done at phoneme, word, syllable and break index levels. Phoneme, word and break index level annotation has been done manually by trained linguists whereas syllable-tier annotation has been done automatically using template matching algorithm. The mean accuracy achieved at phoneme and break index label and boundary identification is 79.07% and 89.67% respectively. The quality assessment of word and syllable tiers is still under investigation.