Mr. Liheng Wang Profile

Liheng Wang

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 7 March 2024 Paper

End-to-end speaker recognition system design

Liheng Wang, Xinran Ji, Shengjie Liao, Hailong Zhang

Proceedings Volume 13088, 130880S (2024) https://doi.org/10.1117/12.3011280

KEYWORDS: Speaker recognition, Feature extraction, Education and training, Design and modelling, Data modeling, Neural networks, Matrices, Transformers

Read Abstract +

Like fingerprints, facial information and other biological characteristics, human voice also carries the physiological characteristics of living things. It is unique, stable personal information that cannot be stolen or lost. The speaker's voiceprint can contain changes that remain unchanged, so these features make the voiceprint features deeper, more elusive, and more difficult to forge, making the authentication stronger and safer. Based on the basic characteristics of human voiceprints, this paper designs a voiceprint recognition system based on neural networks. In order to enable the network to better use original data to obtain output results, time and frequency domain masking methods are used for data enhancement. In the network part, the encoder-decoder method uses the transformer architecture to achieve end-to-end data processing, and uses the triplet loss function to evaluate and optimize the parameters within the neural network to improve the prediction accuracy of the model. Modeling experiments were conducted on the LibriSpeech and CN-Celeb datasets, respectively. The system realizes human voiceprint recognition end-to-end based on deep learning and has been tested to meet the design needs.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years