Investigation of the influence of blocks on the linear spectrum for synthetic speech detection Article Swipe

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YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1049/ell2.12797

In recent years, constant‐Q cepstral coefficient (CQCC) has successfully used in synthetic speech detection (SSD), however, linear‐domain logarithm power spectrum (LLPS) information is not fully captured by discrete cosine transform (DCT) in CQCC extraction and how the block affects the LLPS information extraction for SSD has not been investigated in the previous studies. In order to investigate how the block affects the LLPS information extraction and extract more detailed information from LLPS for SSD, a new feature, constant‐Q block coefficient (CQBC), is proposed by modifying CQCC using block transform plus DCT on LLPS in this letter. Furthermore, how the length of block affects the performance is deeply investigated in this work. The experimental result on ASVspoof 2015 evaluation set indicates that: (1) there is much difference in the performance for different length block (2) CQBC‐DA can improve the performance of SSD and its average equal error rate can reach 0.0724, which decline 36% compared with CQCC‐DA (3) CQBC‐DA is superior to many front‐ends that have been benchmarked in terms of average equal error rate.

Related Topics

Discrete Cosine Transform

Artificial Intelligence

Mathematical Analysis

Combinatorics

Programming Language

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Discrete cosine transform Logarithm Block (permutation group theory) Algorithm Computer science Cepstrum Speech recognition Mathematics Constant (computer programming) Word error rate Feature extraction Pattern recognition (psychology) Artificial intelligence Image (mathematics) Mathematical analysis Combinatorics Programming language

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Language: en
Landing Page: https://doi.org/10.1049/ell2.12797
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DOI: https://doi.org/10.1049/ell2.12797

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Title: Investigation of the influence of blocks on the linear spectrum for synthetic speech detection

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Publication year: 2023

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Authors: Wei Li, Jichen Yang, Pei Lin

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Concepts: Discrete cosine transform, Logarithm, Block (permutation group theory), Algorithm, Computer science, Cepstrum, Speech recognition, Mathematics, Constant (computer programming), Word error rate, Feature extraction, Pattern recognition (psychology), Artificial intelligence, Image (mathematics), Mathematical analysis, Combinatorics, Programming language

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