Detecting Stress in Spoken English using Decision Trees and Support Vector Machines

@inproceedings{Xie2004DetectingSI,
  title={Detecting Stress in Spoken English using Decision Trees and Support Vector Machines},
  author={Huayang Xie and Peter Andreae and Mengjie Zhang and Paul Warren},
  booktitle={ACSW},
  year={2004}
}
This paper describes an approach to the detection of stress in spoken New Zealand English. After identifying the vowel segments of the speech signal, the approach extracts two different sets of features — prosodic features and vowel quality features — from the vowel segments. These features are then normalised and scaled to obtain speaker independent feature values that can be used to classify each vowel segment as stressed or unstressed. We used Decision Trees (C4.5) and Support Vector… CONTINUE READING
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