Acoustic modeling for Thai- English code-switching speech

摘要

Due to the effect of globalization, mixing languages between Thai and English has been commonly used in typical conversations in Thailand, even if talking with Thai natives. Consequently, Thai automatic speech recognition that is deployed in multilingual communities are able to handle Thai-English code-switching. One of the main challenges in building a system is selecting phone set for Thai-English pairs which mother tongue-like accent interferes with the English pronunciation. This paper shows evidence that an acoustic model with a Thai phoneme set improves the recognition performance for Thai-English code-mixing speech. The baseline system for comparison built with merge phoneme for Thai and English where the phones were simply combined. The experimental results shown that the word error rate of monolingual Thai phones is reduced by 4.5%.