The application of fractional Mel cepstral coefficient in deceptive speech detection
The inconvenience operation of EEG P300 or functional magnetic resonance imaging (FMRI) will be overcome, when the deceptive information can be effectively detected from speech signal analysis. In this paper, the fractional Mel cepstral coefficient (FrCC) is proposed as the speech character for dece...
Main Authors: | Xinyu Pan, Heming Zhao, Yan Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2015-08-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/1194.pdf |
Similar Items
-
Comparison of Cepstral Normalization Techniques in Whispered Speech Recognition
by: GROZDIC, D., et al.
Published: (2017-02-01) -
Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient
by: Karisma Trinanda Putra
Published: (2017-11-01) -
A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients
by: Elmehdi Benmalek, et al.
Published: (2023-06-01) -
A hidden Markov optimization model for processing and recognition of English speech feature signals
by: Chen Yinchun
Published: (2022-06-01) -
High Security and Capacity of Image Steganography for Hiding Human Speech Based on Spatial and Cepstral Domains
by: Yazen A. Khaleel
Published: (2020-06-01)