Cross-lingual Adaptation of a CTC-based multilingual Acoustic Model

Publication date: Available online 4 September 2018Source: Speech CommunicationAuthor(s): Sibo Tong, Philip N. Garner, Hervé BourlardAbstractMultilingual models for Automatic Speech Recognition (ASR) are attractive as they have been shown to benefit from more training data, and better lend themselves to adaptation to under-resourced languages. However, initialisation from monolingual context-dependent models leads to an explosion of context-dependent states. Connectionist Temporal Classification (CTC) is a potential solution to this as it performs well with monophone labels.We investigate multilingual CTC training in the context of adaptation and regularisation techniques that have been shown to be beneficial in more conventional contexts. The multilingual model is trained to model a univ...

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