TY - GEN
T1 - Hybridization process for text-independent speaker identification based on vector quantization model
AU - Djeghader, Mohammed
AU - Huang, Qin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/27
Y1 - 2017/3/27
N2 - This paper examines performances of an independent Speaker Identification System (SIS) based on a template model using a Vector Quantization (VQ) method. Template model is characterized by the implementation platform based on a comparison process where the speaker model with the smallest distortion score is identified. In order to analyze the decision of the system and its confidence, a thresholding decision was introduced as a verdict condition. Thus, a new notion around decision quality was performed. Moreover, this threshold returns a discriminative criterion for selecting the training models used in the matching process and clustering with a second SIS will be allowed. According to the results, it was concluded as through the use of the proposed method; the desired performance was reached. As fulfillment, we have been able to custom a Hybridization process based on SIS-VQ model.
AB - This paper examines performances of an independent Speaker Identification System (SIS) based on a template model using a Vector Quantization (VQ) method. Template model is characterized by the implementation platform based on a comparison process where the speaker model with the smallest distortion score is identified. In order to analyze the decision of the system and its confidence, a thresholding decision was introduced as a verdict condition. Thus, a new notion around decision quality was performed. Moreover, this threshold returns a discriminative criterion for selecting the training models used in the matching process and clustering with a second SIS will be allowed. According to the results, it was concluded as through the use of the proposed method; the desired performance was reached. As fulfillment, we have been able to custom a Hybridization process based on SIS-VQ model.
KW - Component
KW - MFCC features
KW - minkowski metrics
KW - speaker identification system
KW - vector quantization based LBG
UR - https://www.scopus.com/pages/publications/85018680719
U2 - 10.1109/SIPROCESS.2016.7888332
DO - 10.1109/SIPROCESS.2016.7888332
M3 - 会议稿件
AN - SCOPUS:85018680719
T3 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
SP - 596
EP - 601
BT - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
Y2 - 13 August 2016 through 15 August 2016
ER -