Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition

Understand

Internal Language Model Estimation (ILME) based language model (LM) fusion has been shown significantly improved recognition results over conventional shallow fusion in both intra-domain and cross-domain speech recognition tasks.

• In this paper, we attempt to apply our ILME method to cross-domain code-switching speech recognition (CSSR) work.
• Specifically, our curiosity comes from several aspects.
• First, we are curious about how effective the ILME-based LM fusion is for both intra-domain and cross-domain CSSR tasks.