Prof-Life-Log: Analysis and classification of activities in daily audio streams

@article{Ziaei2015ProfLifeLogAA,
  title={Prof-Life-Log: Analysis and classification of activities in daily audio streams},
  author={Ali Ziaei and Abhijeet Sangwan and Lakshmish Kaushik and John H. L. Hansen},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={4719-4723}
}
A new method to analyze and classify daily activities in personal audio recordings (PARs) is presented. The method employs speech activity detection (SAD) and speaker diarization systems to provide high level semantic segmentation of the audio file. Subsequently, a number of audio, speech and lexical features are computed in order to characterize events in daily audio streams. The features are selected to capture the statistical properties of conversations, topics and turn-taking behavior… CONTINUE READING

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