Improving the Language Model for Low-Resource ASR with Online Text Corpora

LREC 2020 Nils HjortnaesTimofey ArkhangelskiyNiko PartanenMichael Rie{\ss}lerFrancis Tyers

In this paper, we expand on previous work on automatic speech recognition in a low-resource scenario typical of data collected by field linguists. We train DeepSpeech models on 35 hours of dialectal Komi speech recordings and correct the output using language models constructed from various sources... (read more)

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