Speaker siglet detection for Business Microscope

Jun Nishimura, Nobuo Sato, Tadahiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

"Business Microscope "is our sensornet application in the age of knowledge, which visualizes knowledge workers' interactions by sensing their face-to-face communications. Due to the limitation of energy consumption of sensor nodes and privacy concerns, very short (0.1s) intermittently sensed (10s interval) noise-like signals called siglet is used to for detection task. To detect the speaker from the limited input, "self vs "others" classification problem is introduced. For this new classification problem, new classifier called AdaBoost LVQ is studied to explore the application of AdaBoost to reduce the error rate of the conventional classifier with strictly limited inputs. As a result, AdaBoost LVQ achieved highest recognition accuracy of 96.45% with 19.86% error rate improvement relative to best conventional classifier.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008
Pages376-381
Number of pages6
DOIs
Publication statusPublished - 2008
Event7th International Conference on Machine Learning and Applications, ICMLA 2008 - San Diego, CA, United States
Duration: 2008 Dec 112008 Dec 13

Other

Other7th International Conference on Machine Learning and Applications, ICMLA 2008
CountryUnited States
CitySan Diego, CA
Period08/12/1108/12/13

Fingerprint

Adaptive boosting
Microscopes
Classifiers
Industry
Sensor nodes
Energy utilization
Communication

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

Cite this

Nishimura, J., Sato, N., & Kuroda, T. (2008). Speaker siglet detection for Business Microscope. In Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008 (pp. 376-381). [4725001] https://doi.org/10.1109/ICMLA.2008.132

Speaker siglet detection for Business Microscope. / Nishimura, Jun; Sato, Nobuo; Kuroda, Tadahiro.

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. 2008. p. 376-381 4725001.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nishimura, J, Sato, N & Kuroda, T 2008, Speaker siglet detection for Business Microscope. in Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008., 4725001, pp. 376-381, 7th International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, CA, United States, 08/12/11. https://doi.org/10.1109/ICMLA.2008.132
Nishimura J, Sato N, Kuroda T. Speaker siglet detection for Business Microscope. In Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. 2008. p. 376-381. 4725001 https://doi.org/10.1109/ICMLA.2008.132
Nishimura, Jun ; Sato, Nobuo ; Kuroda, Tadahiro. / Speaker siglet detection for Business Microscope. Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. 2008. pp. 376-381
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