Polyphone decision tree specialization for language adaptation
Tanja Schultz, Alex Waibel · 2002
With the distribution of speech technology products all over the world, the fast and efficient portability to new target languages becomes a practical concern. The authors explore the relative effectiveness of adapting multilingual LVCSR systems to a new target language with limited adaptation data. For this purpose they introduce a polyphone decision tree specialization method. Several recognition results are presented based on mono- and multilingual recognizers. These recognizers are developed in the framework of the project GlobalPhone. In this project we investigate speech recognition in 15 languages: Arabic, Mandarin and Shanghai Chinese, Croatian, English, French, German, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Tamil, and Turkish.