Enabling Interactive Transcription in an Indigenous Community
Charles Darwin University（查尔斯·达尔文大学）；Université Grenobles Alpes（格勒诺布尔阿尔卑斯大学）
英文摘要：
We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
