TY - GEN
T1 - Haar-like filtering with center-clipped emphasis for speech detection in sensornet
AU - Nishimura, Jun
AU - Kuroda, Tadahiro
PY - 2009
Y1 - 2009
N2 - The use of haar-like filtering for resourced-constrained speech detection in sensornet application is explored. The simple haar-like filters having variable filter width and shift width are trained to learn appropriate filter parameters from the training samples to detect speech. To further refine the accuracy, the center-clipped emphasis is proposed as a new degree of freedom for more adaptive Haar-like filter designs. Our method yielded speech/nonspeech classification accuracy of 98.33% for the input length of 0.1s. Compared with high performance feature extraction method MFCC (Mel-Frequency Cepstrum Coefficient), the proposed haar-like filtering can be approximately 98.40% efficient in terms of the amount of add and multiply computation while capable of achieving the error rate of only 1.63% relative to MFCC.
AB - The use of haar-like filtering for resourced-constrained speech detection in sensornet application is explored. The simple haar-like filters having variable filter width and shift width are trained to learn appropriate filter parameters from the training samples to detect speech. To further refine the accuracy, the center-clipped emphasis is proposed as a new degree of freedom for more adaptive Haar-like filter designs. Our method yielded speech/nonspeech classification accuracy of 98.33% for the input length of 0.1s. Compared with high performance feature extraction method MFCC (Mel-Frequency Cepstrum Coefficient), the proposed haar-like filtering can be approximately 98.40% efficient in terms of the amount of add and multiply computation while capable of achieving the error rate of only 1.63% relative to MFCC.
KW - Center-clipped emphasis
KW - Haar-like filtering
KW - Sensornet
KW - Speech detection
UR - http://www.scopus.com/inward/record.url?scp=63649090742&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63649090742&partnerID=8YFLogxK
U2 - 10.1109/DSP.2009.4785885
DO - 10.1109/DSP.2009.4785885
M3 - Conference contribution
AN - SCOPUS:63649090742
SN - 9781424436774
T3 - 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
SP - 1
EP - 4
BT - 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
T2 - 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009
Y2 - 4 January 2009 through 7 January 2009
ER -