Code Switching Speech Recognition

Code-switching speech recognition (CSSR) focuses on accurately transcribing speech containing multiple languages within a single utterance, a challenging task due to the complex interplay of linguistic features. Current research heavily utilizes Mixture-of-Experts (MoE) models and other neural network architectures, often incorporating language identification (LID) mechanisms to improve routing and context awareness, along with techniques like contextual biasing and knowledge distillation to enhance model efficiency and performance. Advances in CSSR are crucial for improving accessibility of speech technologies to diverse multilingual communities and have significant implications for applications such as personalized assistants, machine translation, and cross-lingual information retrieval.