Intoxicated Speech Detection by Fusion of Speaker Normalized Hierarchical Features and GMM Supervectors

@inproceedings{Bone2011IntoxicatedSD,
  title={Intoxicated Speech Detection by Fusion of Speaker Normalized Hierarchical Features and GMM Supervectors},
  author={Daniel Bone and Matthew Black and Ming Li and Angeliki Metallinou and Sungbok Lee and Shrikanth Narayanan},
  booktitle={INTERSPEECH},
  year={2011}
}
Speaker state recognition is a challenging problem due to speaker and context variability. Intoxication detection is an important area of paralinguistic speech research with potential real-world applications. In this work, we build upon a base set of various static acoustic features by proposing the combination of several different methods for this learning task. The methods include extracting hierarchical acoustic features, performing iterative speaker normalization, and using a set of GMM… CONTINUE READING
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