Voiceprint identification method bases on DBSCAN algorithm

A voiceprint recognition and algorithm technology, applied in speech analysis, instruments, etc., can solve the problem of low utilization in the field of voiceprint recognition, and achieve the effects of good user experience, fast use and high recognition rate

Active Publication Date: 2016-12-07
HOHAI UNIV
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Problems solved by technology

However, the current utilization level in the field of voiceprint recognition is low, and voiceprint recognition will surely be the next blue ocean in the field of biometrics

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  • Voiceprint identification method bases on DBSCAN algorithm
  • Voiceprint identification method bases on DBSCAN algorithm
  • Voiceprint identification method bases on DBSCAN algorithm

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Embodiment Construction

[0024] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] A voiceprint recognition method based on the DBSCAN algorithm, comprising: extraction of voice features, screening of training set voices, and a judgment algorithm for checking voices. The speech feature extraction uses mel cepstral coefficients for feature extraction; the training speech screening adopts the "group screening based on cosine similarity" method for screening; the judgment of the test speech is judged using the improved DBSCAN algorithm.

[0026] Further, in the speech feature extraction process, according to the classic Nyquist sampling law, the highest frequency that is higher than twice the sound that ordinary people can make is sampled and store...

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Abstract

The invention discloses a voiceprint identification method bases on a DBSCAN algorithm. The method comprises steps of voice feature extraction, voice fragment similarity evaluation, training set voice screening and examined voice determination calculation. The voice feature extraction adopts a mel-cepstrum coefficient for feature extraction. The voice fragment similarity evaluation adopts cosine similarity for similarity calculation. The training set voice screening adopts a fixed threshold for screening. The examined voice determination utilizes an improved DBSCAN algorithm. The voiceprint identification method bases on the DBSCAN algorithm does not require a big training set, only needs some screened training voices as a training set, and utilizes distribution features of the training voices for examined voice determination. The user experience is good and the identification rate is high.

Description

technical field [0001] The invention relates to a voiceprint recognition method based on a DBSCAN algorithm, which uses a computer to recognize a speaker and belongs to the technical field of speech recognition. Background technique [0002] With the development of network and communication and the popularization of smart phones, e-commerce and mobile payment are rising rapidly. Due to the insecurity of the network, information security has become the focus of attention in today's society, and identity authentication, as an important means of information security, has attracted more and more attention. [0003] At present, the most widely used identity authentication method is password verification access behavior. This type of authentication method has many problems such as password forgetting and easy cracking. Once obtained by illegal users, it will cause huge losses to individuals or organizations. Therefore, people are trying to find a more secure and reliable identity...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/08G10L17/04G10L17/02
Inventor 唐家博张雪洁黄星期金薛冬李瑞李智
Owner HOHAI UNIV
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