A Joint Segmentation and Labelling Scheme for use inAcoustic
نویسنده
چکیده
A major challenge in speech recognition based on acoustic subword units is creating a lexicon which is robust to inter-and intra-speaker variations. In this paper we present a joint seg-mentation and labelling scheme to incorporate word-level linguistic knowledge into the training procedure. The proposed system is also based on a combined optimisation of the base-forms and the subword models. For the TI46 database, this method is shown to greatly improve the performance compared to an acoustic subword based speech recogniser employing un-supervised labelling, and is found to perform as well as systems utilising whole-word models and context independent phoneme models.
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