AINeutralarXiv – CS AI · 6h ago6/10
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Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
Researchers propose a code-mixing guided synthetic speech generation framework to improve automatic speech recognition (ASR) for multilingual code-switching scenarios. By optimizing synthetic data generation using the Code Mixing Index metric, the method demonstrates significant error rate reductions on Mandarin-English speech datasets, addressing a critical limitation in training data availability for code-switched ASR systems.