Use of Machine Learning for Deception Detection From Spectral and Cepstral Features of Speech Signals.
Sinead V. FernandesMuhammad Sana UllahPublished in: IEEE Access (2021)
Keyphrases
- speech signal
- cepstral features
- machine learning
- deception detection
- spectral analysis
- linear prediction
- speech recognition
- spectral subtraction
- automatic speech recognition
- vocal tract
- pattern recognition
- background noise
- automatic speech recognition systems
- noisy environments
- speaker identification
- speech enhancement
- non stationary
- speech sounds
- feature selection
- hidden markov models
- computer vision
- feature extraction
- data mining
- speech quality
- spectral features
- blind source separation
- support vector machine
- information retrieval
- fundamental frequency
- multiresolution
- formant frequencies