An Empirical Study of Tone Models for Robust Speech Recognition of Isolated Thai Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Classification of Thai Tone Sequences in Syllable-Segmented Speech Using the Analysis-by-Synthesis M - Speech and Audio Processing, IEEE Transactions on

Tone classification is important for Thai speech recognition because tone affects the lexical identification of words. An analysisby-synthesis algorithm for classifying Thai tones in syllable-segmented speech is presented that uses an extension to Fujisaki’s model for tone languages that incorporates tonal assimilation and declination. The classifier correctly identifies all of the tones in 89....

A Hidden Conditional Random Field-Based Approach for Thai Tone Classification

In Thai, tonal information is a crucial component for identifying the lexical meaning of a word. Consequently, Thai tone classification can obviously improve performance of Thai speech recognition system. In this article, we therefore reported our study of Thai tone classification. Based on our investigation, most of Thai tone classification studies relied on statistical machine learning approa...

Panel: The State of the Art in Thai Language Processing

This paper reviews the current state of technology and research progress in the Thai language processing. It resumes the characteristics of the Thai language and the approaches to overcome the difficulties in each processing task. 1 Some Problematic Issues in the Thai Processing It is obvious that the most fundamental semantic unit in a language is the word. Words are explicitly identified in t...