Semi-supervised acoustic model training for speech with code-switching

Publication date: Available online 23 October 2018Source: Speech CommunicationAuthor(s): Emre Yılmaz, Mitchell McLaren, Henk van den Heuvel, David A. van LeeuwenAbstractIn the FAME! project, we aim to develop an automatic speech recognition (ASR) system for Frisian-Dutch code-switching (CS) speech extracted from the archives of a local broadcaster with the ultimate goal of building a spoken document retrieval system. Unlike Dutch, Frisian is a low-resourced language with a very limited amount of manually annotated speech data. In this paper, we describe several automatic annotation approaches to enable using of a large amount of raw bilingual broadcast data for acoustic model training in a semi-supervised setting. Previously, it has been shown that the best-performing ASR system is obtain...

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