Discovering an optimal set of minimally contrasting acoustic speech units: a point of focus for whole-word pattern matching

@inproceedings{Aimetti2010DiscoveringAO,
  title={Discovering an optimal set of minimally contrasting acoustic speech units: a point of focus for whole-word pattern matching},
  author={Guillaume Aimetti and Roger K. Moore and Louis ten Bosch},
  booktitle={INTERSPEECH},
  year={2010}
}
This paper presents a computational model that can automatically learn words, made up from emergent sub-word units, with no prior linguistic knowledge. This research is inspired by current cognitive theories of human speech perception, and therefore strives for ecological plausibility with the desire to build more robust speech recognition technology. Firstly, the particulate structure of the raw acoustic speech signal is derived through a novel acoustic segmentation process, the ‘acoustic DP… CONTINUE READING

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