Chun-Shan Hsu

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This paper proposes a new paradigm for code-switching event detection based on latent language space models (LLSMs) and the delta-Bayesian information criterion (ΔBIC). A phone-based Mandarin--English speech recognizer was first employed for obtaining the senone sequence of a speech utterance. For each senone, acoustic features and the posterior(More)
This paper presents a new paradigm for code-switching event detection based on delta Bayesian Information Criterion (∆BIC). First, an automatic speech recognizer (ASR) and an articulatory feature (AF) detector are constructed. The intersyllable boundaries obtained from the ASR are regarded as the potential code-switching boundaries. To estimate the language(More)
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