TY - GEN
T1 - Isolated word endpoint detection using time-frequency variance kernels
AU - Kyriakides, Alexandros
AU - Pitris, Costas
AU - Spanias, Andreas
PY - 2011/12/1
Y1 - 2011/12/1
N2 - A major challenge in developing endpoint detection systems is the presence of background noise. We have developed a hybrid method for performing endpoint detection which is based on spectrogram estimation using LPC and a detection process based on imaging operations on the spectrogram. High-variance regions in the spectrogram, captured by variance kernels, can be used to accurately determine the endpoints of speech. This hybrid approach to endpoint detection is robust to various types and levels of background noise. Compared with two other publicly-available methods, our approach performs favorably.
AB - A major challenge in developing endpoint detection systems is the presence of background noise. We have developed a hybrid method for performing endpoint detection which is based on spectrogram estimation using LPC and a detection process based on imaging operations on the spectrogram. High-variance regions in the spectrogram, captured by variance kernels, can be used to accurately determine the endpoints of speech. This hybrid approach to endpoint detection is robust to various types and levels of background noise. Compared with two other publicly-available methods, our approach performs favorably.
UR - http://www.scopus.com/inward/record.url?scp=84861318163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861318163&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2011.6190069
DO - 10.1109/ACSSC.2011.6190069
M3 - Conference contribution
AN - SCOPUS:84861318163
SN - 9781467303231
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 585
EP - 589
BT - Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
T2 - 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Y2 - 6 November 2011 through 9 November 2011
ER -