Semi-supervised G2P Bootstrapping and Its Application to ASR for a Very Under-resourced Language: Iban

• Main Authors: Juan, Sarah Samson, Besacier, Laurent, Rossato, Solange
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: Q Science (General); QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/8879/1/sltu2014_sarah.pdf; http://ir.unimas.my/id/eprint/8879/
• Institution: Universiti Malaysia Sarawak

This paper describes our experiments and results on using a local dominant language in Malaysia (Malay), to bootstrap automatic speech recognition (ASR) for a very under-resourced language: Iban (also spoken in Malaysia on the Borneo Island part). Resources in Iban for building a speech recognition...