This is an editorial guide to a paper published by the Journal of Speech Sciences. JoSS Kids Lab does not represent the journal, its authors or UNICAMP. The original paper is hosted by its publisher.
Phone based acoustic modeling for automatic speech recognition for Punjabi language
Wiqas Ghai, Navdeep Singh
Journal of Speech Sciences · 3(1), 68-83 · 2013
What the paper examines
This paper compares phone-based and whole-word acoustic modelling for Punjabi speech recognition using a particular recognition system and dataset. It considers both isolated and connected-word recognition tasks.
Reading it in context
Reported recognition performance belongs to the evaluated system, vocabulary and recording conditions. It does not demonstrate that a different app can judge an individual learner’s pronunciation.
A question to read with
How were the recognition tasks defined, and which conditions limit the comparison?
Citation
Wiqas Ghai, Navdeep Singh (2013). Phone based acoustic modeling for automatic speech recognition for Punjabi language. Journal of Speech Sciences, 3(1), 68-83. https://doi.org/10.20396/joss.v3i1.15040
Source and reuse information
Title, authors, issue, pages, DOI and license were checked against the official publisher record on October 29, 2026. The year above is the original issue year; migration dates in online catalogues can differ. The publisher lists CC BY 4.0. We link to the original work and provide our own editorial summary; we do not host the paper or its figures.
Explore communication together
The voice and rhythm activities and family guidance offer educational starting points. They were not evaluated by this paper and are not substitutes for clinical assessment.
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