TY - GEN
T1 - Interruption point detection of spontaneous speech using prior knowledge and multiple features
AU - Liang, Wei Bin
AU - Yeh, Jui Feng
AU - Wu, Chung Hsien
AU - Liou, Chi Chiuan
PY - 2008
Y1 - 2008
N2 - This paper presents an approach to interruption point (IP) detection of spontaneous speech based on conditional random fields using prior knowledge and multiple features. The features adopted in this study consist of subsyllable boundaries and prosodic features. Conditional random fields (CRFs) and variable-length contextual features are employed for IP modeling. In order to apply the features with continuous values to the CRF models, the K-means clustering algorithm is adopted for the quantization of the prosodic features. In the experimental results, Mandarin Conversional Dialogue Corpus (MCDC) was used to evaluate the proposed method. The IP detection error rate achieved almost 20% reduction in Rt04 measure. The experimental results show that the proposed model can effectively detect the interruption point in spontaneous speech.
AB - This paper presents an approach to interruption point (IP) detection of spontaneous speech based on conditional random fields using prior knowledge and multiple features. The features adopted in this study consist of subsyllable boundaries and prosodic features. Conditional random fields (CRFs) and variable-length contextual features are employed for IP modeling. In order to apply the features with continuous values to the CRF models, the K-means clustering algorithm is adopted for the quantization of the prosodic features. In the experimental results, Mandarin Conversional Dialogue Corpus (MCDC) was used to evaluate the proposed method. The IP detection error rate achieved almost 20% reduction in Rt04 measure. The experimental results show that the proposed model can effectively detect the interruption point in spontaneous speech.
UR - http://www.scopus.com/inward/record.url?scp=54049115611&partnerID=8YFLogxK
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U2 - 10.1109/ICME.2008.4607720
DO - 10.1109/ICME.2008.4607720
M3 - Conference contribution
AN - SCOPUS:54049115611
SN - 9781424425716
T3 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
SP - 1457
EP - 1460
BT - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
T2 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008
Y2 - 23 June 2008 through 26 June 2008
ER -