Web: http://arxiv.org/abs/2201.12155

June 24, 2022, 1:12 a.m. | Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Jianhua Tao, Yu Ting Yeung, Liqun Deng

cs.CL updates on arXiv.org arxiv.org

Code-switching deals with alternative languages in communication process.
Training end-to-end (E2E) automatic speech recognition (ASR) systems for
code-switching is especially challenging as code-switching training data are
always insufficient to combat the increased multilingual context confusion due
to the presence of more than one language. We propose a language-related
attention mechanism to reduce multilingual context confusion for the E2E
code-switching ASR model based on the Equivalence Constraint (EC) Theory. The
linguistics theory requires that any monolingual fragment that occurs in the …

arxiv automatic speech recognition code context language speech speech recognition

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