Two-pass Approach for Recognizing Code-Switching Speech

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概要

• 論文の詳細を見る

• We propose a recognition method for code-switching utterances in multilingual speech recognition. Code-switching is the concurrent use of more than one language in a single conversation. Prom a linguistic point of view, the grammatical aspect of code-switching has always been an issue since there is no clear grammatical rules for it. In addition to that, the sparseness of code-switching text corpus makes it more difficult to build a language model for speech recognition. We propose a two-pass language modeling approach that takes knowledge from monolingual language models to make a good representation of the code-switching grammar. We evaluate our proposed method using a WFST-based Indonesian-English ASR system for a computer voice command task and prove its effectiveness.

• 2012-02-02

著者

• Shinoda Koichi

  Department Of Computer Science Graduate School Of Information Science And Engineering Tokyo Institut

• Furui Sadaoki

  Department Of Computer Science Graduate School Of Information Science And Engineering Tokyo Institut

• Iwano Koji

  Tokyo Inst. Technol. Tokyo Jpn

• Iwano Koji

  Faculty Of Environmental And Information Studies Tokyo City University

• Andy Fajar

  Department Of Computer Science Graduate School Of Information Science And Engineering Tokyo Institute Of Technology.

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