Low-Resource Contextual Topic Identification on Speech

17 Jul 2018Chunxi LiuMatthew WiesnerShinji WatanabeCraig HarmanJan TrmalNajim DehakSanjeev Khudanpur

In topic identification (topic ID) on real-world unstructured audio, an audio instance of variable topic shifts is first broken into sequential segments, and each segment is independently classified. We first present a general purpose method for topic ID on spoken segments in low-resource languages, using a cascade of universal acoustic modeling, translation lexicons to English, and English-language topic classification... (read more)

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