In this article, the authors have presented the design and development of automatic
spontaneous speech recognition of the Punjabi language. To dimensions up to the natural …

This metastudy summarizes 264 recent experimental works involving sonority. The
discussion here centers around an accompanying appendix that lists several details of each …

Swapping one or more consonant-graphemes in a word into other phonologically similar
ones, which based on both place and manner of articulation, interestingly produces some …

Corpus preparation for low-resource languages and for development of human language
technology to analyze or computationally process them is a laborious task, primarily due to …

Abstract This paper presents Mni-EnCC, a temporal alligned Manipuri–English comparable
corpus, to facilitate cross-lingual studies between Manipuri and English. Mni-EnCC has …

As one of the statistical-based models, an n-gram syllabification commonly gives a high
syllable error rate (SER) for Bahasa Indonesia, one of the low-resource languages, since it …

Recent deep learning-based syllabification models generally give low error rates for high-
resource languages with big datasets but sometimes produce high error rates for the low …

Development of Large Vocabulary Speech Recognition System with Keyword Search for
Manipuri Page 1 Development of Large Vocabulary Speech Recognition System with Keyword …

The identification of syllables within phonetic sequences is known as syllabification. This
task is thought to play an important role in natural language understanding, speech …

Development of an effective system for transliterating loanwords and named-entities across
orthographically very different languages is a challenging task. In general, such problems …