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Zero-resource Automatic Speech Recognition (ZR ASR) addresses target languages without given pronunciation dictionary, transcribed speech, and language model. Lexical discovery for ZR ASR aims to extract word-like chunks from speech. Lexical discovery benefits from the availability of written translations in another source language [1, 2, 3]. In this paper, we improve lexical discovery even more by...
This paper presents our work in Automatic Speech Recognition (ASR) in the context of multilingual unsupervised training with application to Czech. Starting without any transcribed acoustic training data we built a Czech ASR by combining cross-language bootstrapping and confidence based unsupervised training. We present our new method called “multilingual A-stabil” to compute confidence scores and...
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