Unsupervised Audio Patterns Discovery Using HMM-Based Self-Organized Units

@inproceedings{Siu2011UnsupervisedAP,
  title={Unsupervised Audio Patterns Discovery Using HMM-Based Self-Organized Units},
  author={Man-Hung Siu and Herbert Gish and Steve Lowe and Arthur Chan},
  booktitle={INTERSPEECH},
  year={2011}
}
In our previous work [1, 2], we trained an HMM-based speech recognizer without transcription or any knowledge or resources. The trained HMM recognizer was used to transcribe audio into self-organized units (SOUs) and we evaluated its performance on the task of topic identification. In this paper, we report our work in applying SOUs to discover audio patterns in spoken documents without supervision. By recognizing audio into SOUs which are sound-like units, the discovery for common audio… CONTINUE READING
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