Pittayawat Pittayaporn

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2024

pdf bib
Leveraging Deep Learning to Shed Light on Tones of an Endangered Language: A Case Study of Moklen
Sireemas Maspong | Francesco Burroni | Teerawee Sukanchanon | Warunsiri Pornpottanamas | Pittayawat Pittayaporn
Proceedings of the Third Workshop on NLP Applications to Field Linguistics

Moklen, a tonal Austronesian language spoken in Thailand, exhibits two tones with unbalanced distributions. We employed machine learning techniques for time-series classification to investigate its acoustic properties. Our analysis reveals that a synergy between pitch and vowel quality is crucial for tone distinction, as the model trained with these features achieved the highest accuracy.

2020

pdf bib
A new look at Pattani Malay Initial Geminates: a statistical and machine learning approach
Francesco Burroni | Sireemas Maspong | Pittayawat Pittayaporn | Pimthip Kochaiyaphum
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation

2014

pdf bib
Mapping between Lexical Tones and Musical Notes in Thai Pop Songs
Chawadon Ketkaew | Pittayawat Pittayaporn
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing

Search
Co-authors
Venues
Fix data