Publication Details
Title: How to Put It Into Words - Using Random Forests to Extract Symbol Level Descriptions from Audio Content for Concept Detection
Author: P.-S. Huang, R. Mertens, A. Divakaran, G. Friedland, and M. Hasegawa-Johns
Group: Speech
Date: March 2012
PDF: http://www.icsi.berkeley.edu/pubs/speech/ICSI_howtoputitintowords12.pdf
Bibliographic Information:
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan
Bibliographic Reference:
P.-S. Huang, R. Mertens, A. Divakaran, G. Friedland, and M. Hasegawa-Johns. How to Put It Into Words - Using Random Forests to Extract Symbol Level Descriptions from Audio Content for Concept Detection. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, March 2012
Author: P.-S. Huang, R. Mertens, A. Divakaran, G. Friedland, and M. Hasegawa-Johns
Group: Speech
Date: March 2012
PDF: http://www.icsi.berkeley.edu/pubs/speech/ICSI_howtoputitintowords12.pdf
Bibliographic Information:
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan
Bibliographic Reference:
P.-S. Huang, R. Mertens, A. Divakaran, G. Friedland, and M. Hasegawa-Johns. How to Put It Into Words - Using Random Forests to Extract Symbol Level Descriptions from Audio Content for Concept Detection. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, March 2012
