ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

HAC-models: a novel approach to continuous speech recognition

Hugo Van hamme

In this paper, a bottom-up, activation-based paradigm for continuous speech recognition is described. Speech is described by co-occurrence statistics of acoustic events over an analysis window of variable length, leading to a vectorial representation of high but fixed dimension called "Histogram of Acoustic Co-occurrence" (HAC). During training, recurring acoustic patterns are discovered and associated to words through non-negative matrix factorisation. During testing, word activations are computed from the HAC-representation and their time of occurrence is estimated. Hence, words in a continuous utterance can be detected, ordered and located.


doi: 10.21437/Interspeech.2008-633

Cite as: Van hamme, H. (2008) HAC-models: a novel approach to continuous speech recognition. Proc. Interspeech 2008, 2554-2557, doi: 10.21437/Interspeech.2008-633

@inproceedings{vanhamme08_interspeech,
  author={Hugo {Van hamme}},
  title={{HAC-models: a novel approach to continuous speech recognition}},
  year=2008,
  booktitle={Proc. Interspeech 2008},
  pages={2554--2557},
  doi={10.21437/Interspeech.2008-633}
}