Linear Frequency Residual Cepstral Features for Replay Spoof Detection on ASVSpoof 2019-Reference-Cited by-同舟云学术

Linear Frequency Residual Cepstral Features for Replay Spoof Detection on ASVSpoof 2019

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
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Author:

Gupta Priyanka¹,Patil Hemant A.¹

Affiliation:

1. Dhirubhai Ambani Institute of Information and Communication Technology,Speech Research Lab,Gandhinagar,Gujarat,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909913.pdf?arnumber=9909913

Reference24 articles.

1. Modeling of the glottal flow derivative waveform with application to speaker identification

2. Design of voice privacy system using linear prediction;gupta;2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),2020

3. Extraction of speaker-specific excitation information from linear prediction residual of speech;cheedella;Speech Communication,2006

4. Processing linear prediction residual signal to counter replay attacks

5. Speaker verification anti-spoofing using linear prediction residual phase features

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3. Liveness Detection – Automatic Classification of Spontaneous and Pre-recorded Speech for Biometric Applications;2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD);2023-10-25

4. Spoken Language Identification Using Linear Frequency Residual Cepstral Coefficients;Lecture Notes in Computer Science;2023

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