What SM Myanmar TTS actually does (from store listing)
SM Myanmar TTS - A Text-To-Speech Engine project for Burmese language - was built and has been coordinated by the Sao Mai Center for the Blind, with the implementing collaboration of the vnSpeak Team and the Myanmar Access Technology (MAT). The project is sponsored by the International Council for Education of People with Visual Impairment (ICEVI), Overbrook-Nippon Network of Educational Technology (ON-NET) and The Nippon Foundation (TNF).
In addition, our special thanks to:
-In the first…
SM Myanmar TTS - A Text-To-Speech Engine project for Burmese language - was built and has been coordinated by the Sao Mai Center for the Blind, with the implementing collaboration of the vnSpeak Team and the Myanmar Access Technology (MAT). The project is sponsored by the International Council for Education of People with Visual Impairment (ICEVI), Overbrook-Nippon Network of Educational Technology (ON-NET) and The Nippon Foundation (TNF).
In addition, our special thanks to:
-In the first phase of listing Myanmar words, Dr. Aye Aye Tun, vice director of Dagon University (now serving as the rector of Pago University), Teacher Nilar (computer technician) and teacher Su Myat Mon (assistant librarian 3) have kindly offered their help on behalf of their University.
-With regards to the segmentation of Myanmar words, Associate Professor Dr. Win Pa Pa from University of Computer Studies Yangon (UCSY), Myanmar Natural Language Processing Lab, and Professor Dr. Aye Thidar from University of Computer Studies Mandalay (UCSM), Myanmar Artificial Intelligence Lab have kindly offered their help on behalf of their universities.
-Myanmar words have been referenced from Myanmar Thesaurus and Myanmar Dictionary published by Myanmar Literature Organization of Ministry of Education, and Myanmar syllable segmentation system has been referenced from Sylbreak (Ye Kyaw Thu) and MyG2p (Ko Ye Kyaw Thum, Win Pa Pa) projects.
Comparable Android apps
The five apps in Tools with the closest revenue to SM Myanmar TTS. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on SM Myanmar TTS's tracker page for current rating, reviews and snapshot timeline.
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