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Speaker identification based on PCC feature vector
He, Peichao1; Zuo, Yi1; Li, Tieshan1; Philip Chen, C. L.2; Ma, He1; Liu, Junxia1
2019-09-01
Source Publication2019 6th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2019
Pages18-22
AbstractIn the research field of speaker identification, many extraction methods of speech feature have been investigated for several decades. However, several new features such as i-vector and d-vector were proposed in recent years. Mel Frequency Cepstral Coefficient (MFCC) is still wildly used in current speaker identification systems accounting for its high performance. Based on the similar generation approach of MFCC, this article proposes a novel feature extraction way based on Pearson correlation coefficient (PCC). Firstly, we also use inverse discrete cosine transform (IDCT) cepstrum coefficient as the initial speech inputs. Secondly, we employ a hierarchical clustering analysis based on PCC to merge the IDCT cepstrum coefficient until the dimension of speech inputs is reduced to 14. Finally, we output this 14-dimensional vector as speech feature named r-vector. In the experiments, Gaussian Mixture Model (GMM) was applied to compare the performance of r-vector with other speech features. According to the 630 people voice data in TIMIT database, the results of experiments claim that the r-vector could obtain higher recognition accuracy in speaker identification.
Keywordclustering analysis feature extraction Pearson correlation coefficient speaker identification
DOI10.1109/ICCSS48103.2019.9115450
URLView the original
Language英語English
Scopus ID2-s2.0-85094858068
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Dalian Maritime University, Navigation College, Dalian, China
2.University of Macau, Faculty of Science and Technology, Macao
Recommended Citation
GB/T 7714
He, Peichao,Zuo, Yi,Li, Tieshan,et al. Speaker identification based on PCC feature vector[C],2019:18-22.
APA He, Peichao,Zuo, Yi,Li, Tieshan,Philip Chen, C. L.,Ma, He,&Liu, Junxia.(2019).Speaker identification based on PCC feature vector.2019 6th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2019,18-22.
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