A fast two-level Speaker Identification method employing sparse representation and GMM-based methods

2012 ◽  
Author(s):  
Hossein Zeinali ◽  
Hossein Sameti ◽  
Hossein Khaki ◽  
Bagher Babaali
Keyword(s):  
Sparse Representation ◽  
Speaker Identification ◽  
Identification Method

A Robust Speaker Identification Method Based on the Wavelet Filter Banks

2002 ◽  
Vol 9C (4) ◽  
pp. 459-466
Author(s):  
Dae-Jong Lee ◽  
Geun-Chang Gwak ◽  
Jeong-Ung Yu ◽  
Myeong-Geun Jeon
Keyword(s):  
Filter Banks ◽  
Speaker Identification ◽  
Wavelet Filter ◽  
Identification Method ◽  
Robust Speaker Identification

Speaker Identification Method Using Bone Conduction and Throat Microphones

2021 ◽  
pp. 729-735
Author(s):  
Takeshi Hashiguchi ◽  
Rin Hirakawa ◽  
Hideki Kawano ◽  
Yoshihisa Nakatoh
Keyword(s):  
Speaker Identification ◽  
Bone Conduction ◽  
Identification Method

scholarly journals INVESTIGATION OF THE SPEAKER IDENTIFICATION METHOD BASED ON CLUSTERED PSEUDOSTATIONARY SEGMENTS OF VOICED SOUNDS

2006 ◽  
Vol 12 (1) ◽  
pp. 50-55
Author(s):  
Povilas Treigys ◽  
Antanas Lipeika
Keyword(s):  
Prediction Model ◽  
Linear Prediction ◽  
Vocal Tract ◽  
Speaker Identification ◽  
Computational Time ◽  
Identification Method ◽  
Linear Prediction Model ◽  
Speech Identification

The problem of speaker identification is investigated. Basic segments ‐ pseudo stationary intervals of voiced sounds are used for identification. The identification is carried out, comparing average distances between an investigative and comparatives. The coefficients of the linear prediction model (LPC) of a vocal tract are used as features of identification. Such a problem arises in stenographic practice where it is important for speech identification to know who is speaking. Identification should be used in stenography and it has to be fast enough in order not to disturb the stenographer's job. The clustered parameter data will be investigated by providing the performance of the speaker identification method with respect to the computational time and the number of errors.

Speaker Identification Using Discriminative Features and Sparse Representation

2017 ◽  
Vol 12 (8) ◽  
pp. 1979-1987 ◽  
Author(s):  
Yu-Hao Chin ◽  
Jia-Ching Wang ◽  
Chien-Lin Huang ◽  
Kuang-Yao Wang ◽  
Chung-Hsien Wu
Keyword(s):  
Sparse Representation ◽  
Speaker Identification
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