TY - GEN
T1 - A Two-stage Pattern Matching Method for Speaker Recognition of Partner Robots
AU - Cao, Jiangtao
AU - Kubota, Naoyuki
AU - Liu, Honghai
N1 - Publisher Copyright:
© 2010 IEEE.
PY - 2010
Y1 - 2010
N2 - By using human speech information, different kinds of speaker and speech recognition systems have been developed for partner robots to efficiently cooperate with people in the daily life. For improving the recognition accuracy and robustness, a two-stage pattern matching algorithm for speaker recognition system of partner robots is proposed. In the first matching stage, by using fuzzy c-means and declustering in vector quantization(VQ) method, the recognition performance with limited training data is improved. For avoiding the phenomenon of similar cepstral features by different speakers, with three additional speech features, the second stage is designed to rematch the similar recognition results of the first stage. In order to evaluate the proposed structure, some experiments have implemented on a public database ELSDSR and an speech owners database for partner robots. The results verified the proposed method obtained more accurate recognition results with strong robustness.
AB - By using human speech information, different kinds of speaker and speech recognition systems have been developed for partner robots to efficiently cooperate with people in the daily life. For improving the recognition accuracy and robustness, a two-stage pattern matching algorithm for speaker recognition system of partner robots is proposed. In the first matching stage, by using fuzzy c-means and declustering in vector quantization(VQ) method, the recognition performance with limited training data is improved. For avoiding the phenomenon of similar cepstral features by different speakers, with three additional speech features, the second stage is designed to rematch the similar recognition results of the first stage. In order to evaluate the proposed structure, some experiments have implemented on a public database ELSDSR and an speech owners database for partner robots. The results verified the proposed method obtained more accurate recognition results with strong robustness.
UR - https://www.scopus.com/pages/publications/105032353723
U2 - 10.1109/FUZZY.2010.5584435
DO - 10.1109/FUZZY.2010.5584435
M3 - 会议稿件
AN - SCOPUS:105032353723
T3 - IEEE International Conference on Fuzzy Systems
BT - 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
Y2 - 18 July 2010 through 23 July 2010
ER -