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Language diarization is the task to perform automatic language segmentation and recognition in a code-switch speech. Towards this task, we developed a conversational Mandarin-English code-switch corpus spoken by Singaporean/Malaysian speakers. We also developed a Singapore accent specific pronunciation dictionary, with which we built a Singapore accent phone recognizer to extract long term context...
In this paper, we propose two cluster criterion functions which aim to maximize the separation between intra-cluster distances and inter-cluster distances. These criteria can automatically deduce the desired number of clusters based on their extremized values. We then propose an algorithm to apply our criterion functions in conjunction with spectral clustering. By exploiting the characteristic of...
This paper presents a strategy to optimize the phonotactic front-end for spoken language recognition. This is achieved by selecting a subset of phones from an existing phone recognizer's phone inventory such that only the phones that best discriminate each of the target languages are selected. Each such phone subset will be used to construct a target-oriented phone tokenizer (TOPT). In this study,...
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