Zhao Shuyang

Phd Candidate

Interests:

• Acoustic pattern recognition
• Interactive learning

Email: shuyang.zhao@tuni.fi

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Publications

• Active Learning for Sound Event Detection
  Zhao S.Y., T. Heittola, T. Virtanen
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2895-2905, 2020, doi: 10.1109/TASLP.2020.3029652.
• An active learning method using clustering and committee-based sample selection for sound event classification
  Zhao S.Y., T. Heittola, T. Virtanen
  In proc. 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018.
• Environmental Noise Monitoring Using Source Classification in Sensors
  P. Maijala, Zhao S.Y., T. Heittola, T. Virtanen
  Applied Acoustics, Volume 129, Pages 258–267, 2018.
• Active learning for sound event classification by clustering unlabeled data
  Zhao S.Y., T. Heittola, T. Virtanen
  In proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p. 751--755, 2017.
• Learning vocal mode classifiers from heterogeneous data sources
  Zhao S.Y., T. Heittola, T. Virtanen
  In proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), p. 16--20, 2017.
• A personalized hybrid music recommender based on empirical estimation of user-timbre preference
  Zhao S.Y.
  Master Thesis, Tampere University of Technology, 2014.