Open AccessPlayback speech detection based on magnitude–phase spectrum
Author(s) -
Yang Jichen,
Liu Leian
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2018.0739
Subject(s) - magnitude (astronomy) , discriminative model , computer science , octave (electronics) , speech recognition , phase (matter) , spectrum (functional analysis) , pattern recognition (psychology) , feature (linguistics) , set (abstract data type) , artificial intelligence , physics , acoustics , linguistics , philosophy , quantum mechanics , astronomy , programming language
In current playback speech detection (PSD) Letter, commonly used features are often extracted from magnitude spectrum while phase spectrum information is not used. In order to extract more discriminative information for PSD, the idea of magnitude–phase spectrum (MPS) is proposed. Then a new feature based on MPS is proposed, namely constant‐Q magnitude–phase octave coefficients (CMPOC). The experimental result on ASVspoof 2017 evaluation set using CMPOC indicates that: (i) the performance of CMPOC is better than features extracted not only from magnitude spectrum but also from MPS. (ii) CMPOC performs better than some commonly used features. (iii) Their system gives better performance than some known systems.